CN113660071A - Interference estimation method, device, equipment and medium - Google Patents
Interference estimation method, device, equipment and medium Download PDFInfo
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Abstract
本公开涉及一种干扰估计方法、装置、设备及介质，涉及通信技术领域，该干扰估计方法包括：依据分配给用户终端的资源块信息，对所述用户终端的时频域资源进行子载波划分，得到至少两个子载波带；依据目标参考符号对应的噪声和干扰协方差矩阵，确定所述子载波带的噪声和干扰协方差矩阵，所述目标参考符号为所述子载波带所包含的参考符号；依据所述子载波带的噪声和干扰协方差矩阵进行时域滤波,得到当前时隙的噪声和干扰协方差矩阵，以作为干扰估计结果。本公开能够提高干扰估计的准确性，并能够解决了现有干扰协方差矩阵的估计准确性低所导致的接收机检测性能差的问题。
The present disclosure relates to an interference estimation method, apparatus, device and medium, and relates to the field of communication technologies. The interference estimation method includes: dividing the time-frequency domain resources of the user terminal into subcarriers according to resource block information allocated to the user terminal. , obtain at least two subcarrier bands; according to the noise and interference covariance matrix corresponding to the target reference symbol, determine the noise and interference covariance matrix of the subcarrier band, and the target reference symbol is the reference included in the subcarrier band symbol; perform time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot, which is used as the interference estimation result. The present disclosure can improve the accuracy of interference estimation, and can solve the problem of poor receiver detection performance caused by low estimation accuracy of the existing interference covariance matrix.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to an interference estimation method, apparatus, device, and medium.
Background
In Long Term Evolution (LTE) and its subsequent Evolution systems, a protocol specifies a dedicated Demodulation Reference Signal (DMRS) for receiving device channel estimation, so that a user equipment may perform channel estimation through the DMRS.
Specifically, in actual network planning, the conventional LTE system mostly adopts a common-frequency networking mode, and the system may generate inter-cell common-frequency interference, and particularly may affect the uplink channel demodulation of LTE. However, since the user terminal device can know the DMRS information of the interfering cell, the DMRS information of the interfering cell can be used for interference suppression specifically for the interference of the neighboring cell in the linear equalization. As can be seen, the existing LTE system mainly performs interference suppression by configuring DMRS information at a cell level, thereby achieving targeted cancellation.
Disclosure of Invention
DMRS signals in the related art are configured on a cell level basis; the DMRS configuration in a New Radio (NR) system of a fifth generation mobile communication technology (5th generation mobile networks, 5G) is based on a user terminal level, that is, it is difficult for a receiving device to know DMRS information of an interfering user terminal in other cells with the same frequency, so that the DMRS cannot be specifically eliminated in the 5G-NR system according to the related art, and interference needs to be evaluated.
In view of the above, the present disclosure provides an interference estimation method, apparatus, device and medium to improve accuracy of interference estimation, so that the presence of interference can be more accurately determined in a 5G-NR system.
In a first aspect, an embodiment of the present disclosure provides an interference estimation method, including:
according to resource block information distributed to a user terminal, sub-carrier division is carried out on time-frequency domain resources of the user terminal to obtain at least two sub-carrier wave bands;
determining a noise and interference covariance matrix of the subcarrier band according to a noise and interference covariance matrix corresponding to a target reference symbol, wherein the target reference symbol is a reference symbol contained in the subcarrier band;
and performing time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
Optionally, the resource block information includes resource block size information and resource block location information, and the sub-carrier division is performed on the time-frequency domain resource of the user terminal according to the resource block information allocated to the user terminal, so as to obtain at least two sub-carrier bands, including:
acquiring size information and position information of resource blocks allocated to a user terminal;
and based on the resource block size information and the resource block position information, performing subcarrier division on the time-frequency domain resources of the user terminal according to the number of subcarrier resource blocks to obtain at least two subcarrier bands, wherein the number of the subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
Optionally, the determining the noise and interference covariance matrix of the subcarrier band according to the noise and interference covariance matrix corresponding to the target reference symbol includes:
determining a target reference symbol belonging to the subcarrier band based on a subcarrier band number, the subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to a subcarrier number of the target reference symbol;
and accumulating the noise and interference covariance matrixes corresponding to the target reference symbols in the subcarrier bands to obtain the noise and interference covariance matrixes of the subcarrier bands.
Optionally, the performing time-domain filtering according to the covariance matrix of noise and interference of the subcarrier band includes:
acquiring a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, wherein the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot;
and according to a preset time domain filter coefficient, carrying out weighting processing on the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot.
Optionally, before the dividing the time-frequency domain resource of the user terminal into subcarriers according to the resource block information allocated to the user terminal, the method further includes:
and carrying out interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
Optionally, the performing interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol includes:
aiming at the received data corresponding to the target reference symbol, extracting the channel estimation value from a channel estimation result, extracting a local reference symbol from a local reference generation result, and extracting the receiving antenna signal from an Orthogonal Frequency Division Multiplexing (OFDM) demodulation processing result;
and performing interference estimation calculation by adopting the channel estimation value, the local reference symbol and the receiving antenna signal to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
In a second aspect, an embodiment of the present disclosure provides an interference estimation apparatus, including:
the system comprises a subcarrier dividing module, a resource block allocating module and a resource block allocating module, wherein the subcarrier dividing module is used for dividing time-frequency domain resources of a user terminal according to resource block information allocated to the user terminal to obtain at least two subcarrier bands;
a subcarrier band covariance matrix determination module, configured to determine a noise and interference covariance matrix of a subcarrier band according to a noise and interference covariance matrix corresponding to a target reference symbol, where the target reference symbol is a reference symbol included in the subcarrier band;
and the time domain filtering module is used for carrying out time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
Optionally, the resource block information includes resource block size information and resource block location information, and the subcarrier dividing module includes:
a resource block information obtaining submodule for obtaining size information and position information of resource blocks allocated to the user terminal;
and the subcarrier dividing submodule is used for carrying out subcarrier division on the time-frequency domain resources of the user terminal according to the number of the subcarrier resource blocks based on the size information and the position information of the resource blocks to obtain at least two subcarrier bands, wherein the number of the subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
Optionally, the subcarrier band covariance matrix determining module includes:
a target reference symbol determination submodule for determining a target reference symbol belonging to the subcarrier band, a subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to a subcarrier number of the subcarrier;
and the accumulation processing submodule is used for accumulating the noise and interference covariance matrix corresponding to the target reference symbol in the subcarrier band to obtain the noise and interference covariance matrix of the subcarrier band.
Optionally, the time-domain filtering module includes:
an obtaining submodule, configured to obtain a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, where the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot;
and the weighting processing submodule is used for weighting the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot according to a preset time domain filter coefficient.
Optionally, the interference estimation apparatus further includes: and the interference estimation module is used for carrying out interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
In a third aspect, an embodiment of the present disclosure provides a communication device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus; a memory for storing a computer program; a processor configured to implement the steps of the interference estimation method according to any one of the first aspect when executing a program stored in a memory.
In a fourth aspect, the present disclosure provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the interference estimation method according to any one of the first aspect.
The method and the device for calculating the covariance matrix of the interference in the time domain perform subcarrier division on the time-frequency domain resources of the user terminal according to the resource block information distributed to the user terminal, achieve flexible subcarrier band division, determine the noise and interference covariance matrix of the subcarrier band according to the noise and interference covariance matrix corresponding to the reference symbols contained in the subcarrier band, perform time-domain filtering according to the noise and interference covariance matrix of the subcarrier band, perform statistics on the covariance matrix of the noise and the interference in the time domain, and enable the distribution characteristic of the interference in the time domain to be reflected, so that the accuracy of the calculated covariance matrix of the noise and the interference is improved, and the problem of poor receiver detection performance caused by low estimation accuracy of the existing interference covariance matrix is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart illustrating steps of an interference estimation method according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating steps of a method for interference estimation according to an alternative embodiment of the present disclosure;
fig. 3 is a schematic diagram of a time-frequency domain resource situation of a subcarrier band with number i of 0 in an example of the present disclosure;
fig. 4 is a block diagram of an interference estimation apparatus according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In the 5G-NR system, a large-scale Multiple-Input Multiple-Output (MIMO) technique is proposed. For uplink reception, when the number of user equipment in other cells with the same frequency is larger than that of the user equipment in other cells with the same frequency, the interference is more serious.
One of the core ideas of the disclosed embodiments is to provide an improved interference estimation method to improve the accuracy of noise and interference estimation, thereby solving the problem of low accuracy of the existing interference covariance matrix estimation method in the actual 5g-NR system, and solving the problem of poor receiver detection performance caused by low estimation accuracy of the existing interference covariance matrix.
The MIMO technology is to improve communication quality by using a plurality of transmitting antennas and receiving antennas at a transmitting end and a receiving end, respectively, and transmitting and receiving signals through the plurality of antennas at the transmitting end and the receiving end.
Referring to fig. 1, a flowchart illustrating steps of an interference estimation method provided by an embodiment of the present disclosure is shown. The interference estimation method provided by the present disclosure may be applied to an interference estimation situation, for example, to an interference covariance matrix estimation situation, and specifically may include the following steps:
The Resource Block information allocated to the user terminal may be used to determine the size and the position of a Resource Block (RB) allocated to the user terminal, for example, the size information and the position information of the Resource Block may be included, which is not specifically limited in this disclosure. The resource block size information allocated to the user terminal may indicate the size of the RB allocated to the user terminal; the resource block location information may indicate the location of the RB allocated to the user terminal.
Specifically, the embodiments of the present disclosure may perform subcarrier band division on the time-frequency domain resource of the user terminal according to the size and the position of the RB allocated to the user terminal based on the resource block information allocated to the user terminal, for example, perform division in a time domain by taking one slot as a unit, so as to obtain two or more subcarrier bands.
And step 120, determining a noise and interference covariance matrix of the subcarrier band according to the noise and interference covariance matrix corresponding to the target reference symbol.
Wherein the target reference symbols are reference symbols included in the subcarrier bands. Specifically, after one or more subcarrier bands are obtained through division, the noise and interference covariance matrices corresponding to all reference symbols included in each subcarrier band may be counted, so that the counted noise and interference covariance matrices are added to the noise and interference covariance matrices corresponding to the subcarrier bands, and the noise and interference covariance matrices corresponding to the subcarrier bands may be expected, so that the expected values of the noise and interference covariance matrices within the subcarrier bands are used as the noise and interference covariance matrices of the entire subcarrier bands.
And step 130, performing time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
Specifically, the embodiments of the present disclosure may traverse each subcarrier band, perform time-domain filtering on the noise and interference covariance matrix of each subcarrier band, so as to perform weighting processing on the noise and interference covariance matrix of the current subcarrier band of the previous timeslot and the noise and interference covariance matrix of the current subcarrier band of the current timeslot through the time-domain filtering to obtain the noise and interference covariance matrix of the current timeslot, and then may use the noise and interference covariance matrix of the current timeslot as an interference estimation result, thereby improving accuracy of interference estimation. Wherein, the covariance matrix of noise and interference of the current time slot may represent the covariance matrix of noise and interference obtained by calculation.
In summary, the embodiments of the present disclosure perform subcarrier division on time-frequency domain resources of a user terminal according to resource block information allocated to the user terminal, so as to flexibly divide a subcarrier band, determine a noise and interference covariance matrix of the subcarrier band according to a noise and interference covariance matrix corresponding to a reference symbol included in the subcarrier band, perform time-domain filtering according to the noise and interference covariance matrix of the subcarrier band, and perform statistics on the noise and interference covariance matrix in a time domain, so that a distribution characteristic of interference in the time domain is also reflected, thereby improving accuracy of the calculated noise and interference covariance matrix, and solving a problem of poor receiver detection performance caused by low estimation accuracy of an existing interference covariance matrix.
In a specific implementation, a noise and interference covariance matrix corresponding to a reference symbol may be determined according to a received multi-antenna reference signal and a channel estimation value, and the noise and interference covariance matrix corresponding to the reference symbol may refer to a noise and interference covariance matrix at a reference symbol position. Optionally, on the basis of the foregoing embodiment, before the performing subcarrier division on the time-frequency domain resources of the user terminal according to the resource block information allocated to the user terminal, the interference estimation method provided in the embodiment of the present disclosure may further include: and carrying out interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol. The receiving antenna signal may refer to a signal received on a reference symbol receiving antenna.
Referring to fig. 2, a flowchart illustrating steps of an interference estimation method according to an alternative embodiment of the present disclosure is shown. As shown in fig. 2, the interference estimation method implemented by the present disclosure may specifically include the following steps:
In actual processing, a noise and interference covariance matrix R corresponding to a reference symbol may be calculated according to a received reference signal on multiple antennas and corresponding channel estimation valuesuu. For example, the specific formula for computing the noise and interference covariance matrices at the reference symbol positions is: ruu＝(YRS-HRSXRS)(YRS-HRSXRS)H(ii) a Wherein, YRSMeans Nrx1-dimensional reference symbol receiving antenna signal, NrxIs the number of receive antennas; hRSMeans Nrx*VrxChannel estimation values, X, corresponding to the positions of the dimensional reference symbolsRSIs referred to as Vrx1-dimensional local reference symbol, VrxIs the number of layers.
Further, the interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol in the embodiment of the present disclosure may specifically include the following sub-steps:
a substep 2101 of extracting the channel estimation value from the channel estimation result, and extracting a local reference symbol from the local reference generation result, and extracting the receiving antenna signal from the OFDM demodulation processing result, for the received data corresponding to the target reference symbol;
a substep 2102 of performing interference estimation calculation by using the channel estimation value, the local reference symbol and the receiving antenna signal to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
As an optional example of the present disclosure, in the 5G-NR system, a signal at a receiving end enters the MIMO equalization module after passing through an Orthogonal Frequency Division Multiplexing (OFDM) demodulation, a demapping module, and a channel estimation module. Considering that multipath fading is caused by multipath propagation, after Inter-Symbol Interference (ISI) is removed by means of Cyclic Prefix (CP), Channel equalization is also required to remove Inter-Channel Interference (ICI) due to Channel frequency selectivity. The transmit and receive model of a MIMO system can be expressed in the frequency domain as: y ═ HX + n + Iitf；
Wherein Y is Nrx1-dimensional received signal, H is Nrx*VrxChannel matrix, X being Vrx1-dimensional transmit signal, N being N independent of the transmit signalrxWhite Gaussian noise 1DitfIs Nrx1-dimensional co-channel interference.
In the actual processing, for the received data corresponding to each reference symbol position, the following steps may be processed in parallel: extracting N output by channel estimation link from channel estimation resultrx*VrxChannel estimation value H corresponding to position of dimensional reference symbolRS(ii) a Extracting V from local reference generation resultrx1-dimensional local reference symbol XRSExtracting N from the OFDM demodulation processing resultrxSignal Y on 1D reference symbol receiving antennaRS(ii) a Then, can be according to formula Ruu＝(YRS-HRSXRS)(YRS-HRSXRS)HCalculating a noise and interference covariance matrix R at the reference symbol positionuu. Wherein, YRSMay mean Nrx1-dimensional reference symbol receiving antenna signal, Nrx1 is the number of receive antennas.
Further, in a case that the resource block information includes resource block size information and resource block location information, the embodiment of the present disclosure performs subcarrier division on the time-frequency domain resource of the user terminal according to the resource block information allocated to the user terminal to obtain at least two subcarrier bands, which may include the following sub-steps:
substep 2201, obtaining size information and position information of resource block allocated to user terminal;
and a substep 2202, based on the resource block size information and the resource block position information, performing subcarrier division on the time-frequency domain resources of the user terminal according to the number of subcarrier resource blocks to obtain at least two subcarrier bands, where the number of subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
Specifically, after the resource block size information and the resource block position information allocated to the user terminal are obtained, the time-frequency domain resource of the user terminal may be divided into the subcarrier bands according to the resource block size information and the resource block position information allocated to the user terminal and the number of resource blocks in a preset frequency domain bandwidth, so that a plurality of subcarrier bands may be obtained through division.
For example, the frequency domain resource range allocated at the current user terminal is RBm～RBnIn the case of (3), if the number of RBs in one subcarrier band is set to K in advance, the number of RBs in the RB band may be set to Km～RBnIn the frequency domain resource range of (3), each K RBs in the frequency domain and each time slot in the time domain are defined as a subcarrier band. Thus, the range in which the subcarrier band number can be calculated is
And the noise and interference covariance matrix corresponding to the subcarrier band numbered i may be labeled as Ruu，iAnd the noise and interference covariance matrix R corresponding to each subcarrier band can be determineduu，iIs set to 0. Where m and n are RB offsets relative to the initial position RB0 of the current resource grid, respectively.
Taking fig. 3 as an example to illustrate the subcarrier band division, specifically, the frequency domain resource range in fig. 3 is subcarriers 0 to 47, which correspond to 4 RBs, which can be recorded as RB0, RB1, RB2, and RB3, respectively; in the case where the number K of resource blocks is set to be equal to 4, that is, when 4 RBs can be divided into one subcarrier band, the number i of the subcarrier band may be recorded as 0, that is, i is 0, and the time domain length of the subcarrier band may be 14 OFDM symbols, and the frequency domain length may be 4 RBs, so that all the subcarrier numbers may be in the range of 0 to 47, and data symbols or reference symbols having OFDM symbol numbers in the range of 0 to 13 are determined as data included in the subcarrier band. It should be noted that the gray boxes in fig. 3 may represent Reference (RS) symbols, and the white boxes in fig. 3 may represent DATA (DATA) symbols.
In the actual processing, if the number K of RBs in one subcarrier band is too large, the interference situation in each frequency domain may be different among RBs in the subcarrier band due to the presence of co-channel interference in some RBs in one subcarrier band and the absence of co-channel interference in some RBs; if the number K of RBs in one subcarrier band is too small, for example, K is 1, the number K of reference symbols in the subcarrier band may be too small, and the calculation result does not satisfy the statistical property, so that the number K of subcarrier resource blocks may be set to a positive integer greater than 1, which may give consideration to more accurate statistical properties caused by more reference symbols and different situations of intra-frequency interference of RBs in the subcarrier band.
In combination with the actual situation, preferably, the number K of RBs in one subcarrier band may be set to 4, so that more accurate statistical characteristics brought by more reference symbols and different situations of the RBs in the subcarrier band possibly suffering from the same frequency interference may be considered. In the actual use process, the number K of RBs in one subcarrier band may be adjusted according to the interference observed by other means, which is not specifically limited by the embodiment of the present disclosure.
Specifically, the embodiments of the present disclosure may count the expected values of the noise and interference covariance matrices corresponding to the reference symbols in the subcarrier band, so as to form the noise and interference covariance matrices for the entire subcarrier band based on the expected values of the noise and interference covariance matrices corresponding to the reference symbols included in the subcarrier band.
Further, the determining the noise and interference covariance matrix of the subcarrier band according to the noise and interference covariance matrix corresponding to the target reference symbol in the embodiment of the present disclosure may specifically include: determining a target reference symbol belonging to the subcarrier band based on a subcarrier band number, the subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to a subcarrier number of the target reference symbol; and accumulating the noise and interference covariance matrixes corresponding to the target reference symbols in the subcarrier bands to obtain the noise and interference covariance matrixes of the subcarrier bands.
In the actual process, k may be given as the formula i that divides the number of the sub-carrier bandsSCK, determining the number of the subcarrier band to which the reference symbol belongs; wherein, i can be expressed as the number of the sub-carrier band to which the reference symbol belongs; k is a radical ofSCA subcarrier number, which may be denoted as a reference symbol; k may be expressed as the number of sub-carrier resource blocks within one sub-carrier, and the number of sub-carrier resource blocks within one sub-carrier may be an algorithm parameter that is self-configured according to an observed interference law; m may be expressed as the number of subcarriers within one resource block, and M may be set to 12, as in the case where 12 subcarriers are one RB. The formula i ═ kSCThe same applies to the calculation of the subcarrier band number to which the data symbol belongs.
After determining the number of the subcarrier band to which the reference symbol belongs, all the reference symbols contained in the subcarrier band may be determined as target reference symbols based on the number of the subcarrier band to which the reference symbol belongs, and then the noise and interference covariance matrix corresponding to each target reference symbol may be added to the noise and interference covariance matrix of the subcarrier band to which the target reference symbol belongs through each target reference symbol, so that the noise and interference covariance matrix of each subcarrier band may be determined. For example, canAccording to the formula
To calculate a noise and interference covariance matrix within the sub-carrier band; wherein R isuu，iMay be the expected value, N, of the noise and interference covariance matrix within the subcarrier band numbered iiIs the number of reference symbols, R, within a sub-carrier band iuu，kIs the covariance matrix of noise and interference corresponding to the kth reference symbol within subcarrier band i.
As an example of the present disclosure, when calculating a subcarrier band number corresponding to each reference symbol, the number k is given for one subcarrierSCReference symbol of (2), which sub-carrier band number is i ═ kSCAnd/12 × K, then, the subcarrier band number of each reference symbol may be saved, so that the reference symbol included in the subcarrier may be determined based on the subcarrier band number in the following, that is, the index reference symbol corresponding to the subcarrier band number is determined based on the subcarrier band number. In addition, i ═ kSC12 of/12 × K are set for one RB according to 12 subcarriers, i.e., 12 REs (Resource elements) are one RB.
By traversing each reference symbol, its corresponding noise and interference covariance matrix R can be determineduuSum of noise and interference covariance matrix accumulations R added to the subcarrier band to which it belongsuu，i，sumIn (i) Ruu，i，sum＝Ruu，i，sum+RuuIs equivalent to Ruu，i，sumR corresponding to all reference symbols within a sub-carrier banduuThe result of the accumulation. Subsequently, the data can be decoded by traversing each sub-carrier band i ∈ 0,1,2, … … [ (n-m +1)/K ∈]For each subcarrier band, the sum R of the noise and interference covariance matrix accumulations is calculateduu，i，sumTaking expectation, the formula can be embodied as
Wherein N isiMay represent the number of reference symbols contained in the subcarrier band numbered i; ruu，iNoise corresponding to each subcarrier bandAnd the expected values of the interference covariance matrix. Thus, the noise and interference covariance matrices for the sub-carrier bands are determined based on the expected values of the noise and interference covariance matrices for each sub-carrier band.
And 240, performing time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
Specifically, the noise and interference covariance matrix of each subcarrier band may be subjected to time domain filtering by traversing each subcarrier band, so that the noise and interference covariance matrix of the current subcarrier band of the previous time slot and the noise and interference covariance matrix of the current subcarrier band of the current time slot are subjected to weighting processing by performing the time domain filtering to obtain the noise and interference covariance matrix of the current time slot, and the noise and interference covariance matrix of the current time slot may be used as an interference estimation result, thereby improving accuracy of interference estimation.
Further, the performing the time-domain filtering according to the covariance matrix of noise and interference of the subcarrier band in the embodiment of the present disclosure may specifically include: acquiring a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, wherein the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot; and according to a preset time domain filter coefficient, carrying out weighting processing on the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot.
Specifically, the noise and interference covariance matrix of the subcarrier band in the embodiment of the present disclosure may include a noise and interference covariance matrix of at least two timeslot subcarrier bands, for example, the noise and interference covariance matrix may include a current timeslot subcarrier band covariance matrix and a reference timeslot subcarrier covariance matrix, and the reference timeslot subcarrier covariance matrix may be a noise and interference covariance matrix of a subcarrier band of a previous timeslot corresponding to the current timeslot. The disclosed embodiments can be based onAnd according to a preset time domain filter coefficient A, carrying out weighting processing on the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot to obtain a noise and interference covariance matrix of the current time slot. For example, the formula R can be filtered according to the time domainuu，i，t＝A*Ruu，i，t+(1-A)*Ruu，i，t-1And weighting the noise and interference covariance matrix of the current subcarrier band of the previous time slot and the noise and interference covariance matrix of the current subcarrier band of the current time slot to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result. Wherein R isuu，i，tIs the covariance matrix of the noise interference in the sub-carrier band numbered i in the t-th time slot, Ruu，i，t-1The covariance matrix of noise and interference in the subcarrier band numbered i in the t-1 th time slot is, a is a time-domain filter coefficient as an algorithm parameter, and if 0.8 is selected as the time-domain filter coefficient a, that is, a is 0.8, which is not limited in this example. Therefore, in the implementation of the time-domain filtering in this example, the covariance matrix of the noise and the interference is also counted in the time domain, and the distribution characteristic of the interference in the time domain is also reflected, so that the accuracy of the covariance matrix of the noise and the interference obtained by calculation is improved.
In summary, the interference estimation method provided in the embodiments of the present disclosure flexibly divides the subcarrier band, counts the expected values of the noise and interference covariance matrix in the subcarrier band, and uses the expected values as the noise and interference covariance matrix of the entire subcarrier band, so that time-domain filtering can be performed according to the noise and interference covariance matrix of the entire subcarrier band, and the problem of low interference estimation accuracy caused by performing interference estimation by taking one RB as a unit in the frequency domain in the related art is solved.
Further, in the embodiments of the present disclosure, time-domain filtering is performed according to the noise and interference covariance matrix of the subcarrier band, that is, filtering processing is performed in the time domain, and the noise and interference covariance matrix of the current time slot is obtained by weighting the covariance matrices of the current time slot and the previous time slot, which is equivalent to considering noise and interference, not only the statistical characteristics in the frequency domain but also the statistical characteristics in the time domain are considered, thereby improving the accuracy of noise and interference estimation, and solving the problem of poor detection performance of the receiver due to low accuracy of the existing estimation method of the interference covariance matrix.
It is noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the disclosed embodiments are not limited by the described order of acts, as some steps may occur in other orders or concurrently with other steps in accordance with the disclosed embodiments.
Referring to fig. 4, a block diagram of an interference estimation apparatus provided in an embodiment of the present disclosure is shown. The interference estimation apparatus 400 may include the following modules:
a subcarrier dividing module 410, configured to perform subcarrier division on time-frequency domain resources of a user terminal according to resource block information allocated to the user terminal, so as to obtain at least two subcarrier bands;
a subcarrier band covariance matrix determination module 420, configured to determine a noise and interference covariance matrix of a subcarrier band according to a noise and interference covariance matrix corresponding to a target reference symbol, where the target reference symbol is a reference symbol included in the subcarrier band;
and a time-domain filtering module 430, configured to perform time-domain filtering according to the noise and interference covariance matrix of the subcarrier band, to obtain a noise and interference covariance matrix of the current time slot, which is used as an interference estimation result.
Optionally, the resource block information in this embodiment of the present disclosure may include resource block size information and resource block location information, and the subcarrier dividing module 410 may include the following sub-modules:
a resource block information obtaining submodule for obtaining size information and position information of resource blocks allocated to the user terminal;
and the subcarrier dividing submodule is used for carrying out subcarrier division on the time-frequency domain resources of the user terminal according to the number of the subcarrier resource blocks based on the size information and the position information of the resource blocks to obtain at least two subcarrier bands, wherein the number of the subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
Optionally, the subcarrier band covariance matrix determination module 420 may include the following sub-modules:
a target reference symbol determination submodule for determining a target reference symbol belonging to the subcarrier band based on a subcarrier band number, the subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to the subcarrier number of the target reference symbol;
and the accumulation processing submodule is used for accumulating the noise and interference covariance matrix corresponding to the target reference symbol in the subcarrier band to obtain the noise and interference covariance matrix of the subcarrier band.
Optionally, the time-domain filtering module 430 may include the following sub-modules:
an obtaining submodule, configured to obtain a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, where the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot;
and the weighting processing submodule is used for weighting the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot according to a preset time domain filter coefficient.
Optionally, on the basis of the foregoing embodiment, the interference estimation apparatus 400 provided in the embodiment of the present disclosure may further include: the interference estimation module is configured to perform interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
It should be noted that the interference estimation apparatus 400 provided above can execute the interference estimation method provided in any embodiment of the present invention, and has the corresponding functions and advantages of the execution method.
In a specific implementation, the interference estimation apparatus 400 may be integrated in a communication device, so that the communication device may perform time-domain filtering according to the covariance matrix of noise and interference of a subcarrier band, thereby improving the accuracy of the covariance matrix of noise and interference obtained by calculation, and solving the problem of poor detection performance of a receiver due to low estimation accuracy of the existing covariance matrix of interference. As shown in fig. 5, an embodiment of the present disclosure provides a communication device, which includes a processor 111, a communication interface 112, a memory 113, and a communication bus 114, where the processor 111, the communication interface 112, and the memory 113 complete mutual communication through the communication bus 114, and the memory 113 is used for storing a computer program; the processor 111, when executing the program stored in the memory 113, is configured to implement the steps of the interference estimation method provided by any one of the foregoing method embodiments.
The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the interference estimation method provided in any one of the method embodiments described above.
It should be noted that, as for the embodiments of the apparatus, the device, and the storage medium, since they are basically similar to the embodiments of the method, the description is relatively simple, and in relevant places, reference may be made to the partial description of the embodiments of the method.
In this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (12)
1. An interference estimation method, comprising:
according to resource block information distributed to a user terminal, sub-carrier division is carried out on time-frequency domain resources of the user terminal to obtain at least two sub-carrier wave bands;
determining a noise and interference covariance matrix of the subcarrier band according to a noise and interference covariance matrix corresponding to a target reference symbol, wherein the target reference symbol is a reference symbol contained in the subcarrier band;
and performing time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
2. The interference estimation method according to claim 1, wherein the resource block information includes resource block size information and resource block location information, and the obtaining at least two subcarrier bands by performing subcarrier division on the time-frequency domain resource of the user terminal according to the resource block information allocated to the user terminal includes:
acquiring size information and position information of resource blocks allocated to a user terminal;
and based on the resource block size information and the resource block position information, performing subcarrier division on the time-frequency domain resources of the user terminal according to the number of subcarrier resource blocks to obtain at least two subcarrier bands, wherein the number of the subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
3. The interference estimation method of claim 1, wherein the determining the noise and interference covariance matrix for the subcarrier bands according to the noise and interference covariance matrix corresponding to the target reference symbols comprises:
determining a target reference symbol belonging to the subcarrier band based on a subcarrier band number, the subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to a subcarrier number of the target reference symbol;
and accumulating the noise and interference covariance matrixes corresponding to the target reference symbols in the subcarrier bands to obtain the noise and interference covariance matrixes of the subcarrier bands.
4. The interference estimation method according to claim 1, wherein said time-domain filtering based on the noise and interference covariance matrices for the subcarrier bands comprises:
acquiring a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, wherein the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot;
and according to a preset time domain filter coefficient, carrying out weighting processing on the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot.
5. The interference estimation method according to any one of claims 1 to 4, wherein before the sub-carrier division of the time-frequency domain resources of the user terminal according to the resource block information allocated to the user terminal, the method further comprises:
and carrying out interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
6. The interference estimation method according to claim 5, wherein the performing interference estimation according to the receiving antenna signal and the channel estimation value corresponding to the target reference symbol to obtain a noise and interference covariance matrix corresponding to the target reference symbol comprises:
aiming at the received data corresponding to the target reference symbol, extracting the channel estimation value from a channel estimation result, extracting a local reference symbol from a local reference generation result, and extracting the receiving antenna signal from an Orthogonal Frequency Division Multiplexing (OFDM) demodulation processing result;
and performing interference estimation calculation by adopting the channel estimation value, the local reference symbol and the receiving antenna signal to obtain a noise and interference covariance matrix corresponding to the target reference symbol.
7. An interference estimation apparatus, comprising:
the system comprises a subcarrier dividing module, a resource block allocating module and a resource block allocating module, wherein the subcarrier dividing module is used for dividing time-frequency domain resources of a user terminal according to resource block information allocated to the user terminal to obtain at least two subcarrier bands;
a subcarrier band covariance matrix determination module, configured to determine a noise and interference covariance matrix of a subcarrier band according to a noise and interference covariance matrix corresponding to a target reference symbol, where the target reference symbol is a reference symbol included in the subcarrier band;
and the time domain filtering module is used for carrying out time domain filtering according to the noise and interference covariance matrix of the subcarrier band to obtain the noise and interference covariance matrix of the current time slot as an interference estimation result.
8. The interference estimation device according to claim 7, wherein the resource block information includes resource block size information and resource block location information, and the subcarrier dividing module includes:
a resource block information obtaining submodule for obtaining size information and position information of resource blocks allocated to the user terminal;
and the subcarrier dividing submodule is used for carrying out subcarrier division on the time-frequency domain resources of the user terminal according to the number of the subcarrier resource blocks based on the size information and the position information of the resource blocks to obtain at least two subcarrier bands, wherein the number of the subcarrier resource blocks is the number of resource blocks in a preset frequency domain bandwidth.
9. The interference estimation apparatus of claim 7, wherein the subcarrier band covariance matrix determination module comprises:
a target reference symbol determination submodule for determining a target reference symbol belonging to the subcarrier band, a subcarrier band number of the subcarrier band to which the target reference symbol belongs being related to a subcarrier number of the subcarrier;
and the accumulation processing submodule is used for accumulating the noise and interference covariance matrix corresponding to the target reference symbol in the subcarrier band to obtain the noise and interference covariance matrix of the subcarrier band.
10. The interference estimation device according to claim 7, wherein said time-domain filtering module comprises:
an obtaining submodule, configured to obtain a subcarrier band covariance matrix of a current time slot and a subcarrier band covariance matrix of a reference time slot, where the subcarrier band covariance matrix of the current time slot is a noise and interference covariance matrix of the subcarrier band of the current time slot, and the subcarrier band covariance matrix of the reference time slot is a noise and interference covariance matrix of the subcarrier band of a time slot before the current time slot;
and the weighting processing submodule is used for weighting the subcarrier band covariance matrix of the current time slot and the subcarrier band covariance matrix of the reference time slot according to a preset time domain filter coefficient.
11. The communication equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the interference estimation method according to any one of claims 1 to 6 when executing a program stored in a memory.
12. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the interference estimation method according to any one of claims 1 to 6.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114172598A (en) * | 2021-12-15 | 2022-03-11 | 中国电信股份有限公司 | Interference detection method, device, medium and electronic equipment |
| CN114257256A (en) * | 2021-12-15 | 2022-03-29 | 哲库科技(北京)有限公司 | Noise estimation method, device, equipment and readable storage medium |
| CN115021840A (en) * | 2022-05-25 | 2022-09-06 | Oppo广东移动通信有限公司 | Information processing method and device, equipment, storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100284499A1 (en) * | 2007-08-30 | 2010-11-11 | Bengt Lindoff | Estimating a Signal-to-Interference Ratio in a Receiver of a Wireless Communications System |
| CN102480444A (en) * | 2010-11-23 | 2012-05-30 | 中兴通讯股份有限公司 | Method for estimating and suppressing broadband co-channel interference noise and corresponding system |
| JP2013197671A (en) * | 2012-03-16 | 2013-09-30 | Ntt Docomo Inc | Radio communication system evaluation device |
| CN103621034A (en) * | 2011-06-30 | 2014-03-05 | 英特尔公司 | Noise estimation filter |
| CN103905346A (en) * | 2012-12-28 | 2014-07-02 | 华为技术有限公司 | Interference signal processing method and device |
| CN104052706A (en) * | 2013-03-15 | 2014-09-17 | 富士通株式会社 | Noise plus interference space covariance matrix determination device, interference suppression combining device |
| WO2016131342A1 (en) * | 2015-02-16 | 2016-08-25 | 深圳市中兴微电子技术有限公司 | Interference rejection combining method, device and storage medium |
| US20180183647A1 (en) * | 2016-12-27 | 2018-06-28 | Intel IP Corporation | Methods and devices for channel estimation |
| WO2019030426A1 (en) * | 2017-08-11 | 2019-02-14 | Nokia Technologies Oy | Inter-carrier interference compensation |
-
2021
- 2021-08-03 CN CN202110888258.XA patent/CN113660071A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100284499A1 (en) * | 2007-08-30 | 2010-11-11 | Bengt Lindoff | Estimating a Signal-to-Interference Ratio in a Receiver of a Wireless Communications System |
| CN102480444A (en) * | 2010-11-23 | 2012-05-30 | 中兴通讯股份有限公司 | Method for estimating and suppressing broadband co-channel interference noise and corresponding system |
| CN103621034A (en) * | 2011-06-30 | 2014-03-05 | 英特尔公司 | Noise estimation filter |
| JP2013197671A (en) * | 2012-03-16 | 2013-09-30 | Ntt Docomo Inc | Radio communication system evaluation device |
| CN103905346A (en) * | 2012-12-28 | 2014-07-02 | 华为技术有限公司 | Interference signal processing method and device |
| CN104052706A (en) * | 2013-03-15 | 2014-09-17 | 富士通株式会社 | Noise plus interference space covariance matrix determination device, interference suppression combining device |
| WO2016131342A1 (en) * | 2015-02-16 | 2016-08-25 | 深圳市中兴微电子技术有限公司 | Interference rejection combining method, device and storage medium |
| US20180183647A1 (en) * | 2016-12-27 | 2018-06-28 | Intel IP Corporation | Methods and devices for channel estimation |
| WO2019030426A1 (en) * | 2017-08-11 | 2019-02-14 | Nokia Technologies Oy | Inter-carrier interference compensation |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114172598A (en) * | 2021-12-15 | 2022-03-11 | 中国电信股份有限公司 | Interference detection method, device, medium and electronic equipment |
| CN114257256A (en) * | 2021-12-15 | 2022-03-29 | 哲库科技(北京)有限公司 | Noise estimation method, device, equipment and readable storage medium |
| CN114257256B (en) * | 2021-12-15 | 2023-08-15 | 哲库科技(北京)有限公司 | Noise estimation method, device, device and readable storage medium |
| CN115021840A (en) * | 2022-05-25 | 2022-09-06 | Oppo广东移动通信有限公司 | Information processing method and device, equipment, storage medium |
| CN115021840B (en) * | 2022-05-25 | 2024-10-01 | Oppo广东移动通信有限公司 | Information processing method, device, equipment, and storage medium |
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