CN119298926B - A real-time compensation remote radio filtering system - Google Patents
A real-time compensation remote radio filtering system Download PDFInfo
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Abstract
The invention relates to the technical field of radio filtering, in particular to a real-time compensation remote radio filtering system which comprises a signal receiving module, a signal detecting module, a filtering control module, a data transmission module, a remote control module and a signal output module, wherein the signal receiving module comprises a frequency spectrum analyzing unit, a multipath interference detecting unit and a frequency drift detecting unit, the real-time compensating module is used for comprehensively analyzing and generating a comprehensive compensation signal, the filtering control module is used for adjusting filtering parameters according to the compensation signal, the data transmission module is used for transmitting the adjusted filtering parameters to a remote control terminal, and the remote control module is used for receiving and processing control instructions of the remote control terminal. The invention can realize accurate compensation of various interferences and drifting through the cooperative work of the detection units, ensure the stability and quality of signals, and can keep high-efficiency operation even in a complex communication environment.
Description
Technical Field
The invention relates to the technical field of radio filtering, in particular to a real-time compensation remote radio filtering system.
Background
With the rapid development of radio communication technology, radio filters play a vital role in modern communication systems. Radio filters are mainly used to selectively pass or block signals of certain frequencies, thereby improving the performance and signal quality of a communication system. However, the radio filter in the prior art generally has the problems of unstable frequency response, large compensation delay, high remote control difficulty and the like, and seriously affects the efficiency and reliability of a communication system.
In complex communication environments, frequency offset, multipath interference and frequency drift are major interference factors. The frequency deviation causes the frequency component of the signal to deviate to influence the accurate transmission of the signal, the multipath interference causes the signal to have time delay and phase change due to the fact that the signal reaches a receiving end through a plurality of paths, and even causes signal distortion when serious, the frequency deviation is obvious in long-distance transmission, and the frequency of the signal gradually deviates from the original frequency along with the change of time and environment to influence the stability and consistency of the signal.
The existing filtering system can only deal with single type of interference, and cannot comprehensively solve the problems of frequency deviation, multipath interference and frequency drift. The filtering system in the prior art is not comprehensive enough to compensate multipath interference in real time and cannot effectively cope with various complex scenes, and the filtering system still has the defects in the aspect of compensating frequency drift in real time, so that the influence caused by the frequency drift is difficult to completely eliminate. In addition, the conventional filtering system lacks flexible remote control capability, and cannot adjust filtering parameters in real time according to actual requirements, so that the adaptability and flexibility of the system are limited.
Disclosure of Invention
Based on the above object, the present invention provides a real-time compensating remote radio filtering system.
A real-time compensating remote radio filtering system comprising the following modules:
a signal receiving module for receiving an input radio signal;
The signal detection module is used for detecting the frequency characteristic of the received signal, identifying multipath interference components and frequency drift conditions in the received signal, and specifically comprises the following steps:
the frequency spectrum analysis unit is used for carrying out frequency spectrum analysis on the received digital signals to obtain frequency distribution characteristics;
A multipath interference detection unit that identifies multipath interference components in the received signal;
A frequency drift detection unit for detecting a frequency drift condition of a received signal;
The real-time compensation module is used for comprehensively analyzing and generating a comprehensive compensation signal according to the frequency distribution characteristic, the multipath interference component and the detection result of the frequency drift condition in the signal detection module;
the filtering control module is connected with the real-time compensation module and is used for adjusting filtering parameters according to the compensation signals;
the data transmission module is connected with the filtering control module and used for transmitting the adjusted filtering parameters to the remote control terminal;
the remote control module is connected with the data transmission module and is used for receiving and processing control instructions of the remote control terminal;
and the signal output module is connected with the filtering control module and is used for outputting the adjusted radio signal.
Optionally, the signal receiving module further includes:
A receiving antenna for receiving a radio signal;
a front-end amplifier for initially amplifying the received radio signal to improve signal strength;
and the analog-to-digital converter is used for converting the analog signal into a digital signal, so that the subsequent signal detection module can process the analog signal conveniently.
Optionally, the spectrum analysis unit specifically includes:
for input digital signals Performing fast Fourier transform to obtain frequency spectrumThe method comprises the following steps:
Wherein;
Is the first A digital signal of a single sampling point,Is the result of the frequency spectrum,Is the total number of sampling points to be sampled,Is the frequency at which the frequency is to be determined,Is an imaginary unit;
Frequency spectrum Is used to determine the frequency characteristics of the signal, the amplitude spectrumRepresenting the intensity, phase spectrum of the signal at each frequency componentRepresenting the phase of the signal at each frequency component.
Optionally, the multipath interference detection unit specifically includes:
For received signals Performing autocorrelation function calculation, and autocorrelation functionRepresenting signal delays at different timesThe following correlation, expressed as:
Wherein;
is a function of the auto-correlation, Is the firstA digital signal of a single sampling point,Is a time delayRear (th)Complex conjugate of the digital signal at the sampling points,It is the time delay that is required for the time delay,Is the total sampling point number;
Then, find the autocorrelation function Each peak position of (2)Representing the delay of a multipath component, the amplitude of the peakAnd representing the strength of the path, and establishing a multipath interference signal model based on the time delay and the strength information.
Optionally, the frequency drift detection unit specifically includes:
the received signal is subjected to a short-time fourier transform, and the change in frequency of the signal with time is analyzed, expressed as:
Wherein;
Is the short-time fourier transform spectrum, Is the firstA digital signal of a single sampling point,Is a function of the window and,Is the window length of the short-time fourier transform,Is the frequency index of the signal which,Is the time index of the time of day,Is an imaginary unit;
by analysing the frequency spectrum of the short-time fourier transform To determine the amount of frequency drift:
Wherein;
Is the amount of frequency drift and, Is the position of the peak of the spectrum,Is the frequency of the sampling point and,Is the window length of the short-time fourier transform;
the frequency drift signal model is: Wherein;
is a frequency drift compensation signal that is used to compensate for the frequency drift, Is the amount of frequency drift that is detected,It is the time that is required for the device to be in contact with the substrate,Is an imaginary unit.
Optionally, the multipath interference signal model is expressed as:
Wherein;
is a multipath interference signal, expressed in time delay The total interference signal of the lower part of the signal,Is the firstThe attenuation coefficient of the individual paths is set,Is the firstThe time delay of the individual paths is determined,Is a dirac function represented inThe impulse response at which is located,Is the time delay in the calculation of the autocorrelation function, and is a variable representing the time elapsed since the reception of the signal.
Optionally, the real-time compensation module specifically includes:
a, frequency distribution characteristic compensation, namely, frequency spectrum compensation Performing inverse fast Fourier transform to obtain corrected component of time domain signal:,
Wherein, Is the spectrum result;
Calculating a frequency response compensation signal :,
Wherein, Is a preset frequency compensation filter response;
B, multipath interference component compensation, namely calculating an interference compensation signal based on a multipath interference signal model :
,
Wherein, Is the time delay of the signalA value at;
C, frequency drift compensation, namely according to the frequency drift detection result Calculating a frequency drift compensation signal:
,
Wherein, Is the received signal at the current moment in time,Is the amount of frequency drift that is detected,Time is;
d, generating the comprehensive compensation signal, namely generating the frequency response compensation signal Multipath interference compensation signalAnd frequency drift compensation signalSuperposition is carried out to generate final integrated compensation signal:;
Optionally, for each multipath component, according to time delayAdjusting signalsCalculating the time delaySignal value atThus, the signal is delayedValue atIs represented by a shift of the discrete signal, expressed as:
,
wherein, Is a time delayThe value of the signal at which it is located,Is the firstThe time delay of the individual paths is determined,Is the sampling frequency at which the sample is to be taken,Is a time index.
Optionally, the filtering control module specifically includes:
Acquiring integrated compensation signals from a real-time compensation module ;
For a pair ofPerforming fast Fourier transform to obtain;
AnalysisDetermining a dominant frequency component;
according to the analysis result, the center frequency of the filter is adjusted Bandwidth ofSum gain;
Updating the frequency response of a filterSignal compensation is achieved.
Optionally, the signal output module further includes:
a signal amplifying unit that amplifies the adjusted radio signal;
And the signal transmitting unit transmits the optimized signal to the target receiving end.
The invention has the beneficial effects that:
according to the invention, the frequency distribution characteristic, the multipath interference component and the frequency drift condition of the received signal are detected and analyzed respectively through the frequency spectrum analysis unit, the multipath interference detection unit and the frequency drift detection unit, and the frequency spectrum analysis unit can accurately acquire the frequency characteristic of the signal, including the amplitude and the phase information of the frequency component, so as to help identify and compensate the frequency deviation. The multipath interference detection unit can detect multipath effects in the signal, and the multipath interference compensation signal is generated by analyzing and identifying the time delays and the intensities of a plurality of signal paths through an autocorrelation function. The frequency drift detection units can detect and compensate frequency drift generated by signals in long-distance transmission, and through the cooperative work of the detection units, accurate compensation of various interferences and drift can be realized, so that the stability and quality of the signals are ensured, and the signals can still operate efficiently even in a complex communication environment.
According to the invention, a compensation module generates a corresponding compensation signal according to the results of spectrum analysis, multipath interference detection and frequency drift detection, and firstly, the frequency distribution characteristics obtained by spectrum analysis are converted into time domain signals through inverse fast Fourier transformation to generate frequency response compensation signals. Then, multipath interference is identified by an autocorrelation function analysis, and a multipath interference compensation signal is generated. Finally, the frequency drift is detected by short-time Fourier transform, and a frequency drift compensation signal is generated. And comprehensively analyzing the compensation signals of all parts to generate a final comprehensive compensation signal. The comprehensive compensation signal comprises comprehensive processing results of frequency deviation, multipath interference and frequency drift, can adjust parameters of the filter in real time, ensures that the filter can dynamically respond and compensate various signal deviations and interferences, and remarkably improves the anti-interference capability and signal transmission quality of the system.
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In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only of the invention and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system logic according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a functional module according to an embodiment of the invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and to specific embodiments. While the invention has been described herein in detail in order to make the embodiments more detailed, the following embodiments are preferred and can be embodied in other forms as well known to those skilled in the art, and the accompanying drawings are only for the purpose of describing the embodiments more specifically and are not intended to limit the invention to the specific forms disclosed herein.
It should be noted that references in the specification to "one embodiment," "an example embodiment," "some embodiments," etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the relevant art to effect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described.
Generally, the terminology may be understood, at least in part, from the use of context. For example, the term "one or more" as used herein may be used to describe any feature, structure, or characteristic in a singular sense, or may be used to describe a combination of features, structures, or characteristics in a plural sense, depending at least in part on the context. In addition, the term "based on" may be understood as not necessarily intended to convey an exclusive set of factors, but may instead, depending at least in part on the context, allow for other factors that are not necessarily explicitly described.
As shown in fig. 1-2, a real-time compensating remote radio filtering system includes the following modules:
a signal receiving module for receiving an input radio signal;
The signal detection module is used for detecting the frequency characteristic of the received signal, identifying multipath interference components and frequency drift conditions in the received signal, and specifically comprises the following steps:
the frequency spectrum analysis unit is used for carrying out frequency spectrum analysis on the received digital signals to obtain frequency distribution characteristics;
A multipath interference detection unit that identifies multipath interference components in the received signal;
A frequency drift detection unit for detecting a frequency drift condition of a received signal;
In a complex communication environment, multipath interference (i.e. signal distortion caused by that a signal reaches a receiving end through a plurality of paths) is a common problem, and the real-time compensation of the multipath interference is not comprehensive enough at present and cannot effectively cope with various complex scenes;
The real-time compensation module is used for comprehensively analyzing and generating a comprehensive compensation signal according to the frequency distribution characteristic, the multipath interference component and the detection result of the frequency drift condition in the signal detection module;
the filtering control module is connected with the real-time compensation module and is used for adjusting filtering parameters according to the compensation signals;
the data transmission module is connected with the filtering control module and used for transmitting the adjusted filtering parameters to the remote control terminal;
the remote control module is connected with the data transmission module and is used for receiving and processing control instructions of the remote control terminal;
and the signal output module is connected with the filtering control module and used for outputting the adjusted radio signal.
The signal receiving module further includes:
A receiving antenna for receiving a radio signal;
a front-end amplifier for initially amplifying the received radio signal to improve signal strength;
and the analog-to-digital converter is used for converting the analog signal into a digital signal, so that the subsequent signal detection module can process the analog signal conveniently.
Wherein;
the radio signal captured by the receiving antenna is Front-end amplifier pair signalAmplifying the output signal to beThe amplification factor isThe method comprises the following steps:
;
the analog-to-digital converter converts the analog signal Conversion to digital signalsLet the sampling frequency beThenAt the position ofSampling values at the time.
The spectrum analysis unit specifically includes:
for input digital signals Performing fast Fourier transform to obtain frequency spectrumThe method comprises the following steps:
Wherein;
Is the first A digital signal of a single sampling point,Is the result of the frequency spectrum,Is the total number of sampling points to be sampled,Is the frequency at which the frequency is to be determined,Is an imaginary unit;
Frequency spectrum Is used to determine the frequency characteristics of the signal, the amplitude spectrumRepresenting the intensity, phase spectrum of the signal at each frequency componentRepresenting the phase of the signal at each frequency component.
The multipath interference detection unit specifically includes:
For received signals Performing autocorrelation function calculation, and autocorrelation functionRepresenting signal delays at different timesThe following correlation, expressed as:
Wherein;
is a function of the auto-correlation, Is the firstA digital signal of a single sampling point,Is a time delayRear (th)Complex conjugate of the digital signal at the sampling points,It is the time delay that is required for the time delay,Is the total sampling point number, and the autocorrelation function is obtained by traversing all time delaysCalculating a signalAnd delayed versions thereofSimilarity between;
Then, find the autocorrelation function Each peak position of (2)Representing the delay of a multipath component, the amplitude of the peakAnd representing the strength of the path, and establishing a multipath interference signal model based on the time delay and the strength information.
The frequency drift detection unit specifically includes:
the received signal is subjected to a short-time fourier transform, and the change in frequency of the signal with time is analyzed, expressed as:
Wherein;
Is the short-time fourier transform spectrum, Is the firstA digital signal of a single sampling point,Is a function of the window and,Is the window length of the short-time fourier transform,Is the frequency index of the signal which,Is the time index of the time of day,Is an imaginary unit;
by analysing the frequency spectrum of the short-time fourier transform To determine the amount of frequency driftLet the peak position beFrequency drift amount:
Wherein;
Is the amount of frequency drift and, Is the position of the peak of the spectrum,Is the frequency of the sampling point and,Is the window length of the short-time fourier transform;
the frequency drift signal model is: Wherein;
is a frequency drift compensation signal that is used to compensate for the frequency drift, Is the amount of frequency drift that is detected,It is the time that is required for the device to be in contact with the substrate,Is an imaginary unit.
The components of multipath interference are represented as a combination of several delays and intensities, and the multipath interference signal model is represented as:
Wherein;
is a multipath interference signal, expressed in time delay The total interference signal of the lower part of the signal,Is the firstThe attenuation coefficient of the individual paths is set,Is the firstThe time delay of the individual paths is determined,Is a dirac function represented inThe impulse response at which is located,Is the time delay in the calculation of the autocorrelation function, and is a variable representing the time elapsed since the reception of the signal.
The real-time compensation module specifically comprises:
a, frequency distribution characteristic compensation, namely, frequency spectrum compensation Performing inverse fast Fourier transform to obtain corrected component of time domain signal:,
Wherein, Is the spectrum result;
Calculating a frequency response compensation signal :,
Wherein, Is a preset frequency compensation filter response;
B, multipath interference component compensation, namely calculating an interference compensation signal based on a multipath interference signal model :
,
Wherein, Is the time delay of the signalA value at;
C, frequency drift compensation, namely according to the frequency drift detection result Calculating a frequency drift compensation signal:
,
Wherein, Is the received signal at the current moment in time,Is the amount of frequency drift that is detected,Time is;
d, generating the comprehensive compensation signal, namely generating the frequency response compensation signal Multipath interference compensation signalAnd frequency drift compensation signalSuperposition is carried out to generate final integrated compensation signal:;
The compensation algorithm unit generates a comprehensive compensation signal through the stepsFor compensating frequency distribution characteristics, multipath interference components and frequency drift conditions, thereby optimizing filter performance and signal quality.
For spectrumPerforming inverse fast Fourier transform to obtain corrected component of time domain signalThe method comprises the following steps:
For spectrum Performing inverse fast Fourier transform to obtain corrected component of time domain signalExpressed as:
Wherein;
Is the first The time domain signal of the individual sample points,Is the number of points of the inverse fast fourier transform,Is the first of the frequency spectrumThe frequency components of the frequency spectrum are used,Is an imaginary unit of number and is,Is the frequency index of the signal which,Is a time index.
For each multipath component, according to time delayAdjusting signalsCalculating the time delaySignal value atThus, the signal is delayedValue atIs represented by a shift of the discrete signal, expressed as:
,
wherein, Is a time delayThe value of the signal at which it is located,Is the firstThe time delay of the individual paths is determined,Is the sampling frequency at which the sample is to be taken,Is a time index.
The filter control module receives the integrated compensation signalAnalyzing the integrated compensation signalIs subjected to fast Fourier transform again to obtain frequency spectrum:
,
Wherein, Is a composite compensation signal that is a function of the compensation signal,Is the frequency spectrum of the integrated compensation signal,Is a fast fourier transform;
based on the spectrum of the integrated compensation signal Determining the required amount of adjustment of the filtering parameters, i.e. calculating the frequency spectrum of the integrated compensation signalThe dominant frequency component and amplitude of the filter, and the center frequency of the filter is determined according to the component and amplitudeBandwidth ofSum gainParameter adjustment value based on center frequencyBandwidth ofSum gainThe parameters are used for signal compensation, the parameters of the filter are adjusted, so that the filter can compensate various interferences and frequency drift in the comprehensive compensation signal, and the adjustment formula is as follows:
,
wherein, Is the frequency response of the filter and,Is the gain of the filter and,Is the center frequency of the filter and,Is the bandwidth of the filter and,Is the frequency.
Calculating a frequency spectrumThe main frequency components and amplitudes of (a) are as follows:
calculating spectral amplitude And phase of:
;
;
Wherein, AndRespectively isIs used for determining the center frequency of the filter according to the frequency spectrum analysis resultBandwidth ofSum gainParameters:
Center frequency Frequency spectrumIs used for the main frequency component position;
Bandwidth of a communication device The width of the dominant frequency component is determined by the frequency difference at the half power point (3 dB);
Gain of And determining according to the required compensation quantity and signal strength.
The signal output module further includes:
a signal amplifying unit that amplifies the adjusted radio signal;
And if necessary, the optimized signal is converted into an analog signal and then transmitted through an antenna.
The invention is intended to cover any alternatives, modifications, equivalents, and variations that fall within the spirit and scope of the invention. In the following description of preferred embodiments of the invention, specific details are set forth in order to provide a thorough understanding of the invention, and the invention will be fully understood to those skilled in the art without such details. In other instances, well-known methods, procedures, flows, components, circuits, and the like have not been described in detail so as not to unnecessarily obscure aspects of the present invention.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (9)
1. A real-time compensating remote radio filtering system, comprising the following modules:
a signal receiving module for receiving an input radio signal;
The signal detection module is used for detecting the frequency characteristic of the received signal, identifying multipath interference components and frequency drift conditions in the received signal, and specifically comprises the following steps:
the frequency spectrum analysis unit is used for carrying out frequency spectrum analysis on the received digital signals to obtain frequency distribution characteristics;
A multipath interference detection unit that identifies multipath interference components in the received signal;
A frequency drift detection unit for detecting a frequency drift condition of a received signal;
The real-time compensation module is used for comprehensively analyzing and generating a comprehensive compensation signal according to the frequency distribution characteristic, the multipath interference component and the detection result of the frequency drift condition in the signal detection module, and specifically comprises the following steps:
a, frequency distribution characteristic compensation, namely, frequency spectrum compensation Performing inverse fast Fourier transform to obtain corrected component of time domain signal:
Wherein, the method comprises the steps of, wherein,Is the spectrum result;
Calculating a frequency response compensation signal :,
Wherein, Is a preset frequency compensation filter response;
b, multipath interference component compensation, namely calculating a multipath interference compensation signal based on a multipath interference signal model :
,
Wherein, Is the time delay of the signalA value at which, among others,Is the firstThe attenuation coefficient of the individual paths is set,Is the firstDelay of the individual paths;
C, frequency drift compensation, namely according to the frequency drift detection result Calculating a frequency drift compensation signal:
,
Wherein, Is the received signal at the current moment in time,Is the amount of frequency drift that is detected,Time is;
d, generating the comprehensive compensation signal, namely generating the frequency response compensation signal Multipath interference compensation signalAnd frequency drift compensation signalSuperposition is carried out to generate final integrated compensation signal:;
The filtering control module is connected with the real-time compensation module and is used for adjusting filtering parameters according to the compensation signals;
the data transmission module is connected with the filtering control module and used for transmitting the adjusted filtering parameters to the remote control terminal;
the remote control module is connected with the data transmission module and is used for receiving and processing control instructions of the remote control terminal;
and the signal output module is connected with the filtering control module and is used for outputting the adjusted radio signal.
2. The real-time compensating remote radio filtering system of claim 1, wherein the signal receiving module further comprises:
A receiving antenna for receiving a radio signal;
a front-end amplifier for initially amplifying the received radio signal to improve signal strength;
and the analog-to-digital converter is used for converting the analog signal into a digital signal, so that the subsequent signal detection module can process the analog signal conveniently.
3. A real-time compensating remote radio filtering system according to claim 1, characterized in that said spectrum analysis unit comprises in particular:
for input digital signals Performing fast Fourier transform to obtain frequency spectrumThe method comprises the following steps:
Wherein;
Is the first A digital signal of a single sampling point,Is the result of the frequency spectrum,Is the total number of sampling points to be sampled,Is the frequency at which the frequency is to be determined,Is an imaginary unit;
Frequency spectrum Is used to determine the frequency characteristics of the signal, the amplitude spectrumRepresenting the intensity, phase spectrum of the signal at each frequency componentRepresenting the phase of the signal at each frequency component.
4. A real-time compensating remote radio filtering system according to claim 3, wherein said multipath interference detecting unit comprises:
For received signals Performing autocorrelation function calculation, and autocorrelation functionRepresenting signal delays at different timesThe following correlation, expressed as:
Wherein;
is a function of the auto-correlation, Is the firstA digital signal of a single sampling point,Is a time delayRear (th)Complex conjugate of the digital signal at the sampling points,It is the time delay that is required for the time delay,Is the total sampling point number;
finding an autocorrelation function Each peak position of (2)Representing the delay of a multipath component, the amplitude of the peakAnd representing the strength of the path, and establishing a multipath interference signal model based on the time delay and the strength information.
5. The real-time compensating remote radio filtering system of claim 4, wherein the frequency drift detection unit comprises:
the received signal is subjected to a short-time fourier transform, and the change in frequency of the signal with time is analyzed, expressed as:
Wherein;
Is the short-time fourier transform spectrum, Is the firstA digital signal of a single sampling point,Is a function of the window and,Is the window length of the short-time fourier transform,Is the frequency index of the signal which,Is the time index of the time of day,Is an imaginary unit;
by analysing the frequency spectrum of the short-time fourier transform To determine the amount of frequency drift:
Wherein;
Is the amount of frequency drift and, Is the position of the peak of the spectrum,Is the frequency of the sampling point and,Is the window length of the short-time fourier transform;
the frequency drift signal model is: Wherein;
is a frequency drift compensation signal that is used to compensate for the frequency drift, Is the amount of frequency drift that is detected,It is the time that is required for the device to be in contact with the substrate,Is an imaginary unit.
6. The real-time compensating remote radio filtering system of claim 5, wherein the multipath interference signal model is expressed as:
Wherein;
the signal of the multipath interference, Is the firstThe attenuation coefficient of the individual paths is set,Is the firstThe time delay of the individual paths is determined,Is a dirac function represented inThe impulse response at which is located,Is the time delay in the calculation of the autocorrelation function.
7. A real time compensating remote radio filtering system as claimed in claim 1, wherein said signal is delayed in timeValue atIs represented by a shift of the discrete signal, expressed as:
Wherein, the method comprises the steps of, wherein, Is a time delayThe value of the signal at which it is located,Is the firstThe time delay of the individual paths is determined,Is the sampling frequency at which the sample is to be taken,Is a time index.
8. A real-time compensating remote radio filtering system according to claim 1, characterized in that said filtering control module comprises in particular:
Acquiring integrated compensation signals from a real-time compensation module ;
For a pair ofPerforming fast Fourier transform to obtain;
AnalysisDetermining a dominant frequency component;
according to the analysis result, the center frequency of the filter is adjusted Bandwidth ofSum gain;
Updating the frequency response of a filterSignal compensation is achieved.
9. The real-time compensating remote radio filtering system of claim 1, wherein the signal output module further comprises:
a signal amplifying unit that amplifies the adjusted radio signal;
And the signal transmitting unit transmits the optimized signal to the target receiving end.
Priority Applications (1)
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| CN1141103A (en) * | 1994-02-17 | 1997-01-22 | 迈克瑞勒有限公司 | High Data Rate Wireless LAN |
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| CN118915420B (en) * | 2024-10-09 | 2025-02-11 | 西安合众思壮防务科技有限责任公司 | A high-precision time and frequency synchronization optimization method based on BeiDou system |
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| CN1141103A (en) * | 1994-02-17 | 1997-01-22 | 迈克瑞勒有限公司 | High Data Rate Wireless LAN |
| CN118711036A (en) * | 2024-06-21 | 2024-09-27 | 哈尔滨工程大学 | Automatic detection method of line spectrum based on machine learning |
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