CN114118133B - Wireless signal display method, device and computer readable storage medium - Google Patents
Wireless signal display method, device and computer readable storage medium Download PDFInfo
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Abstract
本发明涉及通信技术领域，公开了一种无线信号显示方法、装置及计算机可读存储介质，该无线信号显示方法步骤包括：对无线信号进行解析，得到信号幅值矩阵；对所述信号幅值矩阵进行数据转换，得到转换幅值矩阵；对所述转换幅值矩阵进行图像化显示，得到无线信号图像。本发明能够提高无线信号的可见性，提高无线信号的直观表达能力。
The present invention relates to the field of communication technology, and discloses a wireless signal display method, device and computer-readable storage medium. The wireless signal display method comprises the following steps: parsing the wireless signal to obtain a signal amplitude matrix; performing data conversion on the signal amplitude matrix to obtain a conversion amplitude matrix; and displaying the conversion amplitude matrix in an image to obtain a wireless signal image. The present invention can improve the visibility of wireless signals and improve the intuitive expression ability of wireless signals.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a wireless signal display method, a wireless signal display device, and a computer readable storage medium.
Background
At present, with the development of radio technology, a certain application of wireless signals in acquiring the rule of human activities is carried out, the wireless signals can be used for determining the human activity quantity, but the mapping relation between the wireless signals and the human activity quantity is usually expressed as a one-dimensional time sequence signal, the living body can be difficult to intuitively and visually describe like the vision of a visible light machine, and the characteristic of the human activity quantity can only be indirectly expressed by analyzing a limited one-dimensional time sequence signal.
Disclosure of Invention
The invention mainly aims to provide a wireless signal display method, a wireless signal display device and a computer readable storage medium, aiming at improving the visibility and visual expression capability of wireless signals.
In order to achieve the above object, the present invention provides a wireless signal display method, including the steps of:
Analyzing the wireless signals to obtain a signal amplitude matrix;
performing data conversion on the signal amplitude matrix to obtain a converted amplitude matrix;
And performing imaging display on the conversion amplitude matrix to obtain a wireless signal image.
Optionally, the step of performing data conversion on the signal amplitude matrix to obtain a converted amplitude matrix includes:
performing pixel conversion on each amplitude value in the signal amplitude matrix to obtain a pixel value corresponding to each amplitude value;
And combining pixel values corresponding to the amplitude values according to the positions of the amplitude values in the signal amplitude matrix to obtain a conversion amplitude matrix.
Optionally, the step of performing image display on the conversion amplitude matrix to obtain a wireless signal image includes:
converting each pixel value in the conversion amplitude matrix into a pixel point;
And sequentially arranging and displaying the pixel points by taking the time in the conversion amplitude matrix as an x axis and taking the channel in the conversion amplitude matrix as a y axis to form a wireless signal image, wherein the pixel points are in one-to-one correspondence with the pixel values.
Optionally, the step of analyzing the wireless signal to obtain the signal amplitude matrix includes:
Analyzing the wireless signals based on a channel state analysis program to obtain matrix signals;
performing high-frequency filtering on the matrix signal based on a Butterworth filtering program to obtain a processed noise reduction matrix signal;
Performing dimension reduction operation on the noise reduction matrix signal based on a principal component analysis algorithm to obtain a dimension reduction matrix signal;
And extracting the amplitude in the dimension reduction matrix signal to form a signal amplitude matrix.
Optionally, the dimension-reducing matrix signalWhere H t is the wireless signal vector acquired at time T, c is the total number of channels in the wireless signal, T is the transpose operation,Is the wireless signal of channel c at time t;
Wherein, Wherein, the method comprises the steps of, wherein,For the amplitude of channel c at time t,Is the phase of channel c at time t;
The signal amplitude matrix is Wherein, the method comprises the steps of, wherein,。
Optionally, the step of performing high-frequency filtering on the matrix signal based on the butterworth filtering procedure to obtain a processed noise reduction matrix signal includes:
Acquiring the sampling frequency, the human body fluctuation frequency and the filtering order of the wireless receiver;
Calculating a cut-off frequency according to the sampling frequency and the human body fluctuation frequency;
Performing high-frequency filtering on the signal amplitude in the matrix signal based on the cut-off frequency and the filtering order to obtain a filtering amplitude;
And replacing the signal amplitude in the matrix signal with the filtering amplitude to obtain a noise reduction matrix signal.
Optionally, the performing the dimension reduction operation on the noise reduction matrix signal based on the principal component analysis algorithm, to obtain a dimension reduction matrix signal includes:
Inputting the noise reduction matrix signal as a sample set into a principal component analysis algorithm, and respectively carrying out centering treatment on each spatial sample point in the sample set;
calculating a covariance matrix of the space sample points, decomposing the covariance matrix, and solving a characteristic value corresponding to each space sample point and a characteristic vector corresponding to each space sample point;
determining the minimum dimension reduction dimension according to a preset reconstruction threshold value and the characteristic value;
And arranging the eigenvalues in descending order from large to small, and selecting eigenvectors corresponding to the eigenvalues of the minimum dimension reduction dimension before selection to form a dimension reduction matrix signal.
Optionally, the sample setThe spatial sample point after the centering treatment isX i is a spatial sample point in the noise reduction matrix signal;
The minimum dimension of dimension reduction By passing throughAnd performing calculation, wherein d is the dimension of the sample set, lambda i is a characteristic value, and t is a preset reconstruction threshold.
In addition, in order to achieve the above object, the present invention also provides a wireless signal display device including a memory, a processor, and a wireless signal display program stored on the memory and executable on the processor, the wireless signal display program implementing the steps of the wireless signal display method as described above when executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a wireless signal display program which, when executed by a processor, implements the steps of the wireless signal display method as described above.
The invention provides a wireless signal display method, a wireless signal display device and a computer readable storage medium, which are used for analyzing wireless signals to obtain a signal amplitude matrix; and performing data conversion on the signal amplitude matrix to obtain a converted amplitude matrix, and performing imaging display on the converted amplitude matrix to obtain a wireless signal image. Through the mode, the wireless signal visibility can be improved, and the visual expression capability of the wireless signal can be improved.
Drawings
FIG. 1 is a schematic diagram of a terminal structure of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a flowchart of a first embodiment of a wireless signal display method according to the present invention;
Fig. 3 is a flowchart of a second embodiment of a wireless signal display method according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The main solution of the embodiment of the invention is that the wireless signal is analyzed to obtain a signal amplitude matrix, the signal amplitude matrix is subjected to data conversion to obtain a conversion amplitude matrix, and the conversion amplitude matrix is subjected to imaging display to obtain a wireless signal image.
With the development of the existing radio technology, the wireless signal can be used for determining the human activity number by applying the wireless signal to the rule of acquiring the human activity, but the mapping relation between the wireless signal and the human activity number is usually expressed as a one-dimensional time sequence signal, so that the living body can be difficult to intuitively and visually describe like the vision of a visible light machine, and the characteristic of the human activity number can be indirectly expressed only by analyzing a limited one-dimensional time sequence signal.
The present invention aims to improve the visibility of wireless signals and visual expression capability.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a PC, or can be mobile terminal equipment with a display function, such as a smart phone, a tablet personal computer and the like.
As shown in fig. 1, the terminal may include a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Preferably, the terminal may further include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. Among other sensors, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal moves to the ear. The gravity acceleration sensor can detect the acceleration in all directions (generally three axes), can detect the gravity and the direction when the mobile terminal is stationary, can be used for identifying the gesture of the mobile terminal (such as transverse and vertical screen switching, related games, magnetometer gesture calibration), vibration identification related functions (such as pedometer and knocking), and the like, and of course, the mobile terminal can be further provided with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor and the like, and the description thereof is omitted herein.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a wireless signal display program may be included in the memory 1005, which is a type of computer storage medium.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server, the user interface 1003 is mainly used for connecting to a client (user side) and performing data communication with the client, and the processor 1001 may be used for calling a wireless signal display program stored in the memory 1005 and performing the following operations:
Analyzing the wireless signals to obtain a signal amplitude matrix;
performing data conversion on the signal amplitude matrix to obtain a converted amplitude matrix;
And performing imaging display on the conversion amplitude matrix to obtain a wireless signal image.
Further, the processor 1001 may call the wireless signal display program stored in the memory 1005, and also perform the following operations:
performing pixel conversion on each amplitude value in the signal amplitude matrix to obtain a pixel value corresponding to each amplitude value;
And combining pixel values corresponding to the amplitude values according to the positions of the amplitude values in the signal amplitude matrix to obtain a conversion amplitude matrix.
Further, the processor 1001 may call the wireless signal display program stored in the memory 1005, and also perform the following operations:
converting each pixel value in the conversion amplitude matrix into a pixel point;
And sequentially arranging and displaying the pixel points by taking the time in the conversion amplitude matrix as an x axis and taking the channel in the conversion amplitude matrix as a y axis to form a wireless signal image, wherein the pixel points are in one-to-one correspondence with the pixel values.
Further, the processor 1001 may call the wireless signal display program stored in the memory 1005, and also perform the following operations:
Analyzing the wireless signals based on a channel state analysis program to obtain matrix signals;
performing high-frequency filtering on the matrix signal based on a Butterworth filtering program to obtain a processed noise reduction matrix signal;
Performing dimension reduction operation on the noise reduction matrix signal based on a principal component analysis algorithm to obtain a dimension reduction matrix signal;
And extracting the amplitude in the dimension reduction matrix signal to form a signal amplitude matrix.
Further, the dimension-reducing matrix signalWhere H t is the wireless signal vector acquired at time T, c is the total number of channels in the wireless signal, T is the transpose operation,Is the wireless signal of channel c at time t;
Wherein, Wherein, the method comprises the steps of, wherein,For the amplitude of channel c at time t,Is the phase of channel c at time t;
The signal amplitude matrix is Wherein, the method comprises the steps of, wherein,。
Further, the processor 1001 may call the wireless signal display program stored in the memory 1005, and also perform the following operations:
Acquiring the sampling frequency, the human body fluctuation frequency and the filtering order of the wireless receiver;
Calculating a cut-off frequency according to the sampling frequency and the human body fluctuation frequency;
Performing high-frequency filtering on the signal amplitude in the matrix signal based on the cut-off frequency and the filtering order to obtain a filtering amplitude;
And replacing the signal amplitude in the matrix signal with the filtering amplitude to obtain a noise reduction matrix signal.
Further, the processor 1001 may call the wireless signal display program stored in the memory 1005, and also perform the following operations:
Inputting the noise reduction matrix signal as a sample set into a principal component analysis algorithm, and respectively carrying out centering treatment on each spatial sample point in the sample set;
calculating a covariance matrix of the space sample points, decomposing the covariance matrix, and solving a characteristic value corresponding to each space sample point and a characteristic vector corresponding to each space sample point;
determining the minimum dimension reduction dimension according to a preset reconstruction threshold value and the characteristic value;
And arranging the eigenvalues in descending order from large to small, and selecting eigenvectors corresponding to the eigenvalues of the minimum dimension reduction dimension before selection to form a dimension reduction matrix signal.
Further, the sample setThe spatial sample point after the centering treatment isX i is a spatial sample point in the noise reduction matrix signal;
The minimum dimension of dimension reduction By passing throughAnd performing calculation, wherein d is the dimension of the sample set, lambda i is a characteristic value, and t is a preset reconstruction threshold.
Based on the above hardware structure, the embodiment of the wireless signal display method is provided.
The invention relates to a wireless signal display method.
Referring to fig. 2, fig. 2 is a flowchart of a first embodiment of a wireless signal display method according to the present invention.
In an embodiment of the present invention, the wireless signal display method is applied to a wireless signal display device, and the method includes:
step S10, analyzing the wireless signals to obtain a signal amplitude matrix;
In this embodiment, in order to improve the visibility of the wireless signal and improve the visual expression capability of the wireless signal, the wireless signal display device analyzes the wireless signal to obtain a signal amplitude matrix. The signal amplitude matrix is a matrix formed by extracting the amplitude of the wireless signal.
Step S10 may include, before resolving the wireless signal to obtain the signal amplitude matrix:
Step a, a wireless router sends out a wireless signal based on the reception of a wireless receiver.
In this embodiment, before the wireless signal display device analyzes the wireless signal, the number of human bodies is determined according to the wireless signal related to the activity of human beings, a wireless router is set in the human activity area, the wireless router is used for sending out the wireless signal, the wireless signal is received by the wireless receiver after passing through the human bodies moving in the space, and the wireless signal display device receives the wireless signal from the wireless router according to the wireless receiver.
Step S20, performing data conversion on the signal amplitude matrix to obtain a converted amplitude matrix;
In this embodiment, after the signal amplitude matrix is obtained, the wireless signal display device performs data conversion on the signal amplitude matrix, that is, converts the amplitude in the signal amplitude matrix into a pixel value, to obtain a converted amplitude matrix.
Step S20 performs data conversion on the signal amplitude matrix to obtain a converted amplitude matrix, which may include:
step b1, performing pixel conversion on each amplitude in the signal amplitude matrix to obtain a pixel value corresponding to each amplitude;
in this embodiment, after obtaining a signal amplitude matrix, the wireless signal display device performs pixel conversion on each amplitude in the signal amplitude matrix to obtain a pixel value corresponding to each amplitude.
After the signal amplitude matrix is obtained, the signal amplitude matrix is selected as data to be converted, the amplitude in the signal amplitude matrix is normalized to be between 0 and 1, and then the range of the amplitude is multiplied by 255 to be changed into 0 and 255, so that the pixel value corresponding to each amplitude is obtained, and the amplitude in the matrix corresponds to the color value.
And b2, combining the pixel values corresponding to the amplitude values according to the positions of the amplitude values in the signal amplitude matrix to obtain a conversion amplitude matrix.
In this embodiment, after obtaining the pixel value corresponding to each amplitude, the wireless signal display device combines the pixel values corresponding to each amplitude according to the position of each amplitude in the signal amplitude matrix, so as to obtain a converted amplitude matrix.
And step S30, performing imaging display on the conversion amplitude matrix to obtain a wireless signal image.
In this embodiment, after the wireless signal display device obtains the conversion amplitude matrix, the wireless signal display device performs imaging display on the conversion amplitude matrix to obtain a wireless signal image.
Step S30 is to perform imaging display on the converted amplitude matrix to obtain a wireless signal image, and may include:
Step c1, converting each pixel value in the conversion amplitude matrix into a pixel point;
In this embodiment, after the wireless signal display device obtains the conversion amplitude matrix, the wireless signal display device correspondingly converts each pixel value in the conversion amplitude matrix into a pixel point.
And c2, sequentially arranging and displaying the pixel points by taking the time in the conversion amplitude matrix as an x axis and taking the channel in the conversion amplitude matrix as a y axis to form a wireless signal image, wherein the pixel points are in one-to-one correspondence with the pixel values.
In this embodiment, after each pixel value in the conversion amplitude matrix of the wireless signal display device is correspondingly converted into a pixel point, the pixel points are sequentially arranged and displayed with time in the conversion amplitude matrix as an x-axis and a channel c in the conversion amplitude matrix as a y-axis, so that the amplitude in the conversion amplitude matrix is converted into a wireless signal image. The channels are 3 x 30 subcarrier channels. Wherein, the pixel points are in one-to-one correspondence with the pixel values. That is, the wireless signal display device converts each pixel value in the conversion amplitude matrix into one pixel point after obtaining the conversion amplitude matrix, and performs imaging display on the pixel point according to the position of the pixel value corresponding to the pixel point in the conversion amplitude matrix to form a wireless signal image.
According to the embodiment, through the scheme, the wireless signal is analyzed to obtain the signal amplitude matrix, the data of the signal amplitude matrix is converted to obtain the converted amplitude matrix, and the converted amplitude matrix is subjected to imaging display to obtain the wireless signal image. Therefore, the visibility of the wireless signals is improved, and the visual expression capability of the wireless signals is improved.
Further, referring to fig. 3, fig. 3 is a flow chart of a second embodiment of the wireless signal display method of the present invention. Based on the embodiment shown in fig. 2, step S10 of analyzing the wireless signal to obtain a signal amplitude matrix may include:
Step S11, analyzing the wireless signals based on a channel state analysis program to obtain matrix signals;
In this embodiment, after receiving the wireless signal, the wireless signal display device analyzes the wireless signal according to the channel state analysis program to obtain the matrix signal. Taking one piece of data as an example, the acquired original signal is in the dat format, and after the channel state analysis program, the wireless signal is converted into a four-dimensional matrix signal. Wherein the matrix signal is a four-dimensional matrix of 3×3×30×n, wherein the first "3" represents the number of transmitting antennas, the second "3" represents the number of receiving lines, "30" represents 30 subcarriers on each channel, and n represents that the current data packet has n pieces of data, and each piece of data is a matrix of 3×3×30 dimensions.
Step S12, performing high-frequency filtering on the matrix signal based on a Butterworth filtering program to obtain a processed noise reduction matrix signal;
In this embodiment, after obtaining a matrix signal, the wireless signal display device performs high-frequency filtering on the matrix signal based on a butterworth filtering procedure to obtain a noise reduction matrix signal after processing. In practical application, due to the influence of environmental and equipment noises, the noises are mainly high-frequency signals, so that the extracted CSI data are very unsmooth and effective characteristics are difficult to extract, and therefore, denoising treatment is needed to be carried out on the CSI data firstly, and the influence of human activities on links is mostly composed of low-frequency signals in a frequency spectrum through analysis. However, the original CSI data generally contains a large amount of high-frequency noise, and in order to avoid that a weak low-frequency signal such as a human body is submerged by a large amount of high-frequency noise, a filter is required to filter the high-frequency noise, so that a signal related to the number of people can be extracted from the CSI data.
Step S12 performs high frequency filtering on the matrix signal based on the butterworth filtering procedure, to obtain a processed noise reduction matrix signal, which may include:
Step d1, acquiring the sampling frequency, the human body fluctuation frequency and the filtering order of the wireless receiver;
In this embodiment, the wireless signal display device acquires the sampling frequency, the human body fluctuation frequency, and the filter order of the wireless receiver after acquiring the matrix signal.
And d2, calculating a cut-off frequency according to the sampling frequency and the human body fluctuation frequency.
In this embodiment, the wireless signal display device calculates the cutoff frequency from the sampling frequency and the human body fluctuation frequency after acquiring the sampling frequency and the human body fluctuation frequency of the wireless receiver. Wherein the cut-off frequencyWherein f c is the human body fluctuation frequency, and f s is the sampling frequency of the wireless receiver.
And d3, performing high-frequency filtering on the signal amplitude in the matrix signal based on the cut-off frequency and the filtering order to obtain a filtering amplitude.
In this embodiment, after obtaining the cutoff frequency and the filtering order, the wireless signal display device performs high-frequency filtering on the signal amplitude in the matrix signal based on the cutoff frequency and the filtering order, so as to obtain a filtered amplitude. The order of the filter is set to 9, i.e., n=9, according to the actual requirement and the computational complexity. The low-pass filtering method of Butterworth filtering procedure requires two parameters of the order N of the filter and the cut-off frequency w c representing the passband of the amplitude at-3 dB, the square function of the filtered amplitude can be expressed as。
And d4, replacing the signal amplitude in the matrix signal with the filtering amplitude to obtain a noise reduction matrix signal.
In this embodiment, after obtaining the filtered amplitude, the wireless signal display device replaces the signal amplitude in the matrix signal with the filtered amplitude to obtain the noise reduction matrix signal.
Step S13, performing dimension reduction operation on the noise reduction matrix signal based on a principal component analysis algorithm to obtain a dimension reduction matrix signal;
In this embodiment, after the wireless signal display device obtains the noise reduction matrix signal, the noise reduction matrix signal is subjected to a dimension reduction operation according to the principal component analysis algorithm, so as to obtain a dimension reduction matrix signal.
Step S13 performs a dimension reduction operation on the noise reduction matrix signal based on a principal component analysis algorithm to obtain a dimension reduction matrix signal, which may include:
step e1, taking the noise reduction matrix signal as a sample set to be input into a principal component analysis algorithm, and respectively carrying out centering treatment on each spatial sample point in the sample set;
In this embodiment, after obtaining the noise reduction matrix signal, the wireless signal display device inputs the noise reduction matrix signal as a sample set into a principal component analysis algorithm, and performs a centering process on each spatial sample point in the sample set. The principal component analysis algorithm (PRINCIPAL COMPONENTS ANALYSIS, PCA) is a technique for analyzing and simplifying the dataset. The sample set I.e. noise reduction matrix signalThe spatial sample point after the centering treatment isX i is a spatial sample point in the noise reduction matrix signal.
Step e2, calculating a covariance matrix of the space sample points, decomposing the covariance matrix, and solving a feature value corresponding to each space sample point and a feature vector corresponding to each space sample point;
In this embodiment, after the wireless signal display device performs the centering process on the spatial sample points, a covariance matrix ZZ T of the samples is calculated, and the covariance matrix ZZ is decomposed, so as to obtain a eigenvalue λ i corresponding to each spatial sample point and an eigenvector w i corresponding to each spatial sample point. Wherein, each eigenvalue corresponds to each eigenvector one by one.
Step e3, determining the minimum dimension reduction dimension according to a preset reconstruction threshold value and the characteristic value;
In this embodiment, after determining the feature value corresponding to each of the spatial sample points and the feature vector corresponding to each of the spatial sample points, the wireless signal display device selects the feature value according to a preset reconstruction threshold t and the feature value λ i to enable Established minimum dimension reduction dimension. D is the dimension of the sample set, as well as the dimension of the original sample set space. That is, the selection is made based on a preset reconstruction threshold t and the eigenvalue λ i Dimension of the projection space established.
And e4, arranging the characteristic values in descending order from large to small, and selecting the characteristic vectors corresponding to the minimum dimension-reduction dimension to form a dimension-reduction matrix signal.
In this embodiment, after determining the minimum dimension reduction dimension, the wireless signal display device arranges the feature values in descending order from large to small, and selects feature vectors corresponding to the number of feature values of the minimum dimension reduction dimension to form a dimension reduction matrix signal. Feature values lambda i are arranged in descending order, and the minimum dimension reduction dimension before selection is performedFeature vectors corresponding to the feature values form a projection matrix (dimension-reduction matrix data)。
For example, assume that the original spatial sample point is x i, where i=1, 2,3. Let the mean value of the space sample points beThe sample points after centering are: assume that the new coordinate system { w 1,w2,...,wd }, wi } is projected as a orthonormal basis vector, ,. Let d denote the original dimension of the device,Representing the dimension after dimension reductionRepresenting the projection of a sample point in a low-dimensional coordinate system, whereinRepresentative sample pointCoordinates of the j-th dimension in the low-dimensional space. ThenRepresenting sample pointsProjection in a low dimensional space, where w= { w 1,w2,...,wd }. Calculated sample point variance after projection isThen the formula can be used、Representing the optimized objective function, the formula is obtained through conversionFormula (I)Substitute return typeIt can be found that the key problem is converted to the maximum eigenvalue and each dimension basis vector of the projection space w is the eigenvector of the covariance matrix ZZ T.
And S14, extracting the amplitude values in the dimension reduction matrix signals to form a signal amplitude matrix.
In this embodiment, after the wireless signal display device obtains the dimension-reduced matrix signal, the amplitude in the dimension-reduced matrix signal is extracted to form a signal amplitude matrix. The dimension-reducing matrix signalWhere H t is the wireless signal vector acquired at time T, C is the total number of channels in the wireless signal, T is the transpose operation,Is the wireless signal of channel c at time t;
Wherein, Wherein, the method comprises the steps of, wherein,For the amplitude of channel c at time t,Is the phase of channel c at time t and j is the dimension in the dimension-reduced matrix signal
The signal amplitude matrix isWherein, the method comprises the steps of, wherein,。
True phase,Is the measured phase, where f c is the frequency of channel c,Representing an unknown time lag between the transmitter and the receiver,Representing the phase shift due to signal propagation, beta represents the unknown initial phase of the transmitted data packet,Representing measurement noise;
To ensure that the phase measurement is not carried over And beta change, defining calibration parameters;
Defining calibration parameters;
Phase after calibration;
After calibration and preprocessing, a preprocessed phase measurement matrix can be obtainedWherein, the method comprises the steps of,。
As one embodiment, the signal amplitude may be matrixAnd a phase measurement matrixIn the form of a matrix of radio images, the amplitude measurements are converted into radio images with the time of the signal amplitude matrix as the x-axis and the channel c of the signal amplitude matrix as the y-axis.
According to the embodiment, the wireless signals are analyzed based on the channel state analysis program to obtain matrix signals, the matrix signals are subjected to high-frequency filtering based on the Butterworth filtering program to obtain processed noise reduction matrix signals, the noise reduction matrix signals are subjected to dimension reduction operation based on the principal component analysis algorithm to obtain dimension reduction matrix signals, and the amplitude values in the dimension reduction matrix signals are extracted to form a signal amplitude matrix. Therefore, the method and the device realize the removal of high-frequency noise higher than the human activity frequency in the wireless signals, and eliminate the influence of environmental and equipment noise.
The invention also provides a wireless signal display device.
The wireless signal display device comprises a memory, a processor and a wireless signal display program stored in the memory and capable of running on the processor, wherein the wireless signal display program realizes the steps of the wireless signal display method when being executed by the processor.
The method implemented when the wireless signal display program running on the processor is executed may refer to various embodiments of the wireless signal display method of the present invention, which are not described herein again.
The invention also provides a computer readable storage medium.
The computer-readable storage medium of the present invention stores thereon a wireless signal display program which, when executed by a processor, implements the steps of the wireless signal display method as described above.
The method implemented when the wireless signal display program running on the processor is executed may refer to various embodiments of the wireless signal display method of the present invention, which are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for description, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
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