69 results about "Phase matrix" patented technology

The invention discloses a micro-action three-dimensional sensing method and system based on WiFi channel state information, and relates to the technical field of wireless signal sensing. The method comprises the following steps: collecting CSI data, preprocessing, and outputting a CSI amplitude matrix and a phase matrix; the phase difference of adjacent antenna pairs is used for counteracting common noise, a linear mapping model of displacement increment and phase change is constructed, and displacement calculation is achieved; designing a space-time TransFormer model, fusing CSI amplitude, phase difference, displacement increment and Doppler frequency shift characteristics through a time sequence and space joint attention mechanism, and outputting an initial three-dimensional trajectory; optimizing the initial three-dimensional trajectory by using a self-supervised learning mechanism based on physical consistency constraint; and finally, constructing a dynamic path filter, carrying out real-time filtering correction on the optimized trajectory in combination with extended Kalman filtering and Bayesian multipath fusion, and outputting a final three-dimensional trajectory, thereby realizing high-precision and low-delay trajectory reconstruction without labeling in a complex scene.

The invention relates to a liquid crystal phased array dynamic star finding control method based on holographic phase coding. The method comprises the following steps: acquiring an expected beam pointing angle of a target satellite relative to an antenna array; generating a two-dimensional phase matrix suitable for a liquid crystal phased array based on the expected beam directional angle; performing temperature compensation on the two-dimensional phase matrix, converting the two-dimensional phase matrix into a digital driving level, and loading the digital driving level to a liquid crystal driving circuit; a radio frequency beam pointing to the expected beam pointing angle is formed through radiation of the liquid crystal phased array antenna panel; and beam pointing errors are detected in real time according to downlink signal characteristics and are compensated. The liquid crystal phased array dynamic star finding control method based on holographic phase coding shows remarkable technical progress and practical advantages in multiple aspects; according to the method, a high-performance and high-reliability dynamic beam pointing system is constructed through key technologies such as holographic phase coding, real-time temperature compensation, high-speed calculation and closed-loop feedback, and the method is particularly suitable for high-dynamic scenes such as high-speed mobile carriers and low-orbit satellite communication.

The invention discloses a GNSS (Global Navigation Satellite System) signal sparse compression capture method for a low-correlation measurement matrix, which comprises the following steps of: firstly, constructing a code phase matrix and a frequency offset matrix, and carrying out sparse transformation on a downsampled GNSS signal to obtain a correlation matrix; the method comprises the following steps of: firstly, carrying out iterative optimization on a measurement matrix by taking a Gramb matrix as a matrix, then taking a Frobenius norm of a difference between the Gramb matrix and an equiangular tight frame matrix as a target function, alternately using singular value decomposition (SVD) and a shrinkage operator to carry out iterative optimization on the measurement matrix, and carrying out compression measurement on a correlation matrix through the optimized measurement matrix. Secondly, a correlation matrix of compression measurement is quickly and accurately reconstructed by using a least square operator and an orthogonal matching pursuit algorithm; and finally, when the peak value ratio of the primary peak to the secondary peak of the reconstructed correlation matrix is greater than a threshold value, outputting code phase time delay and Doppler frequency offset corresponding to the primary peak. And if the ratio of the primary peak value to the secondary peak value of the reconstructed correlation matrix is smaller than the threshold value, capturing the GNSS signal again. According to the method, the maximum correlation coefficient and the average correlation coefficient of the measurement matrix can be reduced, the GNSS signal capturing sensitivity is improved, and hardware resources in the signal capturing process in a GNSS receiver can be reduced.

The invention discloses an SAR interference suppression method based on echo asynchronous pulse detection, and the method comprises the steps: constructing a local odd-even channel comparison mode or a global reference pulse comparison mode, directly carrying out the processing in a time domain of an SAR echo data matrix, determining a corresponding mode through the energy characteristics of an interference signal, and carrying out the detection of the interference signal. Constructing a channel difference mask and an outlier mask in the corresponding mode, and finally obtaining an interference mask in each mode; establishing a mask matrix based on the interference mask, and processing the amplitude matrix to obtain an amplitude matrix after interference suppression processing; and combining the phase matrix to obtain a final non-interference SAR echo data matrix. According to the method, interference artifacts brought to SAR image data by the forwarding type coherent interference can be suppressed, and the phenomenon of sidelobe deterioration of strong scattering points in the image after frequency domain notch is eliminated, so that the forwarding type coherent interference existing in the SAR echo data is effectively suppressed.

The invention discloses a rectangular plane phased-array antenna rapid phase matching resolving system and method based on an FPGA, and relates to the technical field of phased-array antenna beam pointing control. According to the scheme, phase complementation operation in beam pointing control is converted into normalization processing of a numerical value 1, and a row and column step-by-step computing architecture is adopted; and the FPGA resource consumption is greatly reduced while the phase resolving precision is ensured. Input azimuth angle and pitch angle information is converted into corresponding trigonometric function values by combining a look-up table method with pre-stored trigonometric function values, phase difference information between adjacent array elements is obtained after the trigonometric function values are multiplied by corresponding frequency points and array element spacing information, a row / column phase matrix is generated through accumulation operation, combination operation is carried out, and the array element spacing information is obtained. And finally, phase matching calculation of more than 1024 array elements is completed at a microsecond level.

The invention relates to the technical field of intelligent peripherals, in particular to a user-oriented interaction information expansion method, which comprises the following steps that: each keycap acquires displacement and pressure, generates an event packet, uploads the event packet through an optical wireless link, and obtains a clock and supplies power; constructing a keycap graph by a master controller, obtaining an intention vector through graph convolution and pooling, inputting the intention vector into a cyclic network to generate a pixel matrix and a phase matrix, and downlink after Bernoulli sparse coding; performing key cap side orthogonal matching pursuit decoding and four-round gradient optimization, and outputting a differential pixel set, a differential phase set and a synchronization mark; the master control refreshes the digital micromirror array and the ultrasonic phased array in a differential manner, locks a frame-level time sequence through a synchronization pulse, compensates link delay and hardware drift in real time based on Kalman filtering, and keeps an optical-acoustic alignment error to be less than 100 microseconds; degradation monitoring enables a link to be automatically switched to a pre-carved character layer and to be quickly recovered when the link is abnormal, and a keyboard interaction information expansion scheme with low delay and high consistency is provided.

The application relates to the technical field of signal processing, in particular to a Beidou satellite signal acquisition method and device, wherein the method comprises the following steps: acquiring a target satellite signal; calculating a covariance matrix of the target satellite signal; acquiring a target hyperparameter corresponding to the target satellite signal; constructing a propagator according to the covariance matrix and the target hyperparameter; and calculating a frequency matrix and a phase matrix of the target satellite signal according to the propagator, so that the number of Beidou satellite signals does not need to be known in advance, the frequency and the phase of the Beidou satellite signals can also be calculated, the acquisition of the Beidou satellite signals is realized, the problem of poor acquisition performance of the existing Beidou satellite signals is solved, and the acquisition performance of the Beidou satellite signals is improved.

The application provides a two-stage denoising neural network-based direction of arrival estimation method, device and electronic equipment. The method comprises the following steps: constructing an array receiving signal matrix and extracting an amplitude matrix and a phase matrix according to the receiving signal of a linear uniform array; extracting the median of all elements in the amplitude matrix and performing range compression to obtain an amplitude statistical feature; inputting the amplitude statistical feature into an adaptive threshold subnetwork to generate a compression coefficient; performing amplitude limiting processing on the amplitude matrix by using the compression coefficient, combining the new amplitude matrix and the phase matrix into a limited amplitude signal matrix; constructing a bounded covariance matrix with a second-order statistical form based on the limited amplitude signal matrix; inputting the bounded covariance matrix into a complex residual convolution subnetwork to generate a noise residual matrix; obtaining an equivalent covariance matrix based on the bounded covariance matrix and the noise residual matrix; and performing spatial spectrum search on the equivalent covariance matrix by using a MUSIC method to obtain a direction of arrival estimation result of a signal source.

The application discloses a user rate enhancement method of an intelligent reflecting surface assisted FTTR system, and belongs to the field of wireless communication.The method comprises the following steps: S1, determining the signal-to-interference-and-noise ratio of a target user according to the beamforming vectors of a target AP and each interference AP and the reflection phase matrix of an IRS, so as to represent the rate of the target user; and S2, maximizing the rate of the target user to obtain the optimal reflection phase matrix of the IRS.The method takes the rate of the target user as a target function, simultaneously considers the enhancement of the target user signal and the suppression of the interference signal by the intelligent reflecting surface, and adjusts the weight of the reflection unit of the IRS to enhance the user rate.The intelligent reflecting surface becomes a competitive communication resource, thereby greatly reducing the complexity of active and passive beam joint adjustment and greatly improving the achievable rate of the target user.The passive beam of the intelligent reflecting surface is quickly calculated through a Riemannian manifold gradient algorithm.

The invention discloses a sound sensing method, apparatus and device, and a computer readable storage medium. The method comprises the steps of obtaining first mixed signals obtained by reflection after a radar transmits first frequency modulation pulse signals; performing discrete Fourier transform on each first mixed signal, and extracting to obtain a first phase set corresponding to each first distance unit in the first phase matrix; extracting a first sound signal containing noise from each first mixed signal according to the first phase set corresponding to each first distance unit; performing compressed sensing on the first sound signal to obtain a first compressed signal; and performing sound sensing on the first compressed signal by using a target sound sensing model obtained based on generative adversarial network training. According to the method and the device, the processing capability of the target sound sensing model on the problems of baseline fluctuation, nonlinear mapping and the like existing in the original sound sensing signal is ensured, the calculation complexity of the model is reduced, and the robustness of the model is improved.

The application discloses a bed human posture recognition method based on multi-level label collaborative sensing, and belongs to the technical field of radio frequency identification, and comprises the following steps: acquiring RFID phase data to be recognized; segmenting the RFID phase data to be recognized based on a time window to obtain a phase array; performing phase unwrapping on the phase array based on a sliding window to obtain an unwrapped phase matrix; classifying the unwrapped phase matrix based on distance to obtain RFID labels, including barrier labels, near neighbor labels and far end labels; selecting a preset number of far end labels as a reference label set; performing phase data alignment operation on all the unwrapped phase arrays to obtain an input phase matrix; and performing classification based on a trained two-stage neural network to obtain a bed human posture recognition result. The application solves the problems that the prior art cannot recognize complex limb postures on a bed and it is difficult to distinguish supine and prone postures when a user raises arms or approaches the head.

The invention relates to the technical field of power electronics, and discloses a control method, a control system and a controller of a single-stage three-phase matrix converter and the single-stage three-phase matrix converter. And when the grid-side voltage sampling value meets the condition corresponding to the working sector range, the current working sector is further determined according to the grid-side voltage sampling value, so that the current value of the determined sector can still meet the requirement when three-phase imbalance occurs, and the control effect is improved.

The invention discloses a three-frequency satellite station multi-source data fusion satellite correction method, system and device and a storage medium, and the method comprises the steps: obtaining a plurality of frequency band signals, and setting the transmitting power proportion of each frequency band through a beam forming device; initializing a phase matrix of the beam forming device to obtain an initial beam pointing satellite, establishing a communication link between the satellite and the portable station, and synchronizing timestamps and phase references of a plurality of frequency band signals; the method comprises the following steps: acquiring communication data and environmental data of a portable station, preprocessing the communication data and the environmental data, and performing feature extraction on the preprocessed communication data and environmental data to obtain feature vectors; integrating the feature vectors to obtain a multi-dimensional feature vector; analyzing the multi-dimensional feature vector by using a fusion model, and determining a satellite correction parameter; and according to the satellite correction parameters, dynamically adjusting a phase matrix of the beam forming device, optimizing beam pointing to a satellite, realizing satellite correction, and shortening satellite convergence time.

This invention relates to the field of performance optimization technology, specifically to a method for polarization sensitivity testing and parameter optimization of a non-polarized liquid crystal focusing lens. The method includes the following steps: collecting test information to establish a basic driving condition set; collecting light field interference fringe images to generate a phase delay matrix set; subtracting the elements of the phase matrix to obtain a deformation stress distribution matrix; determining the numerical magnitude relationship to obtain a stress over-limit judgment and characterization set; and adjusting the voltage specifications to generate a set of independent dual-layer adjustment commands. In this invention, basic driving conditions are established by extracting allowable stress and interlayer elastic parameters; the light intensity distribution is analyzed and the phase state is compared to extract deformation; global characterization scalars are calculated to determine over-limit actions; pulse width voltage is readjusted to issue commands; and based on full-aperture interferometry and dual-layer differential comparison, interlayer coupling stress is quantified and perceived, constructing a dynamic adjustment closed loop for polarization response fluctuations and rotational deviations.

The invention discloses a hybrid intelligent reflector system based on FPGA centralized control. The system comprises a reflective array layer, a control layer, a communication feedback layer and an energy management module. The reflective array layer reflects the incident wave signal to a target direction through active amplification and phase adjustment; the control layer adopts an FPGA centralized control structure, establishes a channel model based on channel state information, executes a beam forming algorithm and phase matrix calculation, generates a target phase control matrix and a power distribution scheme, and adjusts a gain coefficient of the reflective array layer; the communication feedback layer extracts channel estimation parameters and carries out channel data reconstruction; and the energy management module transmits a real-time load signal of the reflective array layer to the control layer, receives a control level signal of the control layer, and cooperatively adjusts the power and phase of the reflective array layer. According to the invention, on the basis of a centralized control architecture and an energy adaptive management mechanism of the FPGA, signal amplification compensation, intelligent beam direction regulation and control and dynamic power distribution are realized.

The application relates to a holographic phase coding-based liquid crystal phased array dynamic satellite searching control method, which acquires an expected beam pointing angle of a target satellite relative to an antenna array; generates a two-dimensional phase matrix suitable for a liquid crystal phased array based on the expected beam pointing angle; performs temperature compensation on the two-dimensional phase matrix and converts the two-dimensional phase matrix into digital driving levels, which are loaded to a liquid crystal driving circuit; forms a radio frequency beam pointing to the expected beam pointing angle through a liquid crystal phased array antenna panel; and detects a beam pointing error in real time according to a downlink signal characteristic and performs compensation. The holographic phase coding-based liquid crystal phased array dynamic satellite searching control method exhibits significant technical progress and practical advantages in multiple aspects; the method constructs a high-performance and high-reliability dynamic beam pointing system through key technologies such as holographic phase coding, real-time temperature compensation, high-speed calculation and closed-loop feedback, and is particularly suitable for high-dynamic scenes such as high-speed mobile carriers and low-orbit satellite communication.

The application discloses a multi-user transmission method and device based on a reconfigurable refractive metasurface antenna, which comprises the following steps: modeling an optimization problem according to a digital beamforming matrix V D , the relationship between the phase shift of each radiation unit and the overall rate R of data sent by a base station to each user s, solving the optimization problem, obtaining an optimal digital beamforming matrix and an optimal phase shift, setting the phase shift of the reconfigurable refractive metasurface to the optimal phase shift, encoding the data stream x S of each user by using the optimal digital beamforming matrix, sending the encoding result through each feed source, and receiving the encoding result after the channel transmission by the user. The application can reduce interference, enhance useful signals and realize the simultaneous signal transmission to multiple users based on the reconfigurable refractive metasurface with multiple feed sources and the digital beamforming of the front end. The system sum rate can be maximized by optimizing the phase matrix and the digital beamforming matrix.

This invention discloses an atmospheric delay correction method and system for interferometric synthetic aperture radar (InSAR), belonging to the field of radar signal correction technology. It includes: performing time-series analysis on a preprocessed SAR image set to obtain multiple interferograms; performing phase unwrapping to obtain multiple unwrapped phases; decomposing the observation matrix composed of the multiple unwrapped phases to obtain multiple independent components; removing independent components related to vertical layer delay from the observation matrix based on the correlation coefficient and periodicity coefficient between each independent component and terrain elevation to obtain a residual phase matrix; and performing turbulent delay correction on the residual phase matrix to obtain a corrected interferogram phase set deformation time series. This invention effectively suppresses the interference of atmospheric delay errors on deformation signals, preserves the true deformation information to the greatest extent, and significantly improves the accuracy of InSAR deformation monitoring.

The invention relates to a hybrid precoding fabric architecture-based sensing integration system and method, and the system comprises a metasurface unit array, and the static phase states of all metasurface units form a static precoding phase matrix; the column type control network comprises N independent control lines and a direct current bias network, and each control line is connected with and synchronously controls all the metasurface units in one column in the metasurface unit array; the MCU is connected with the column type control network and is used for sending a dynamic column control signal containing a dynamic column control vector to the column type control network, generating phase configuration of a final real-time beam scanning phase matrix and performing beam forming; the external feed source is used for transmitting or receiving electromagnetic waves; the communication and sensing integrated system is configured to point a wave beam to a communication target in a communication mode and perform wave beam scanning and process an echo signal in a sensing mode. The phase error problem existing in an RIS beam scanning system is solved, and the implementation complexity and the manufacturing cost of the intelligent fabric are reduced.

The application discloses a kind of fast phase matching solution systems and methods of rectangular plane phased array antenna based on FPGA, it is related to phased array antenna beam pointing control technical field, this scheme is by the phase remainder operation in beam pointing control conversion is normalized to log value 1 processing, and using row-column step-by-step calculation architecture, while guaranteeing the precision of phase solution, it is greatly reduced FPGA resource consumption.Utilize look-up table method to realize the azimuth and elevation angle information conversion corresponding trigonometric function value by pre-storing trigonometric function value, then it is multiplied after corresponding frequency point and array element spacing information, and the phase difference information between adjacent array elements is obtained, by accumulation operation, generate row / column phase matrix and then carry out combination operation, finally more than 1024 array elements are completed in microsecond level Phase matching solution.

This invention provides a method and apparatus for designing time-varying radiation patterns for a broadband digital array radar, relating to the field of radar processing technology. It includes: using a genetic algorithm to determine the airspace target waveform based on the autocorrelation function, amplitude difference tolerance, and amplitude difference matrix; the airspace target waveform being a waveform with slowly varying rising and falling edges; determining the sub-objective function of the airspace target waveform based on the airspace target waveform, multiple main lobe pointing directions, the signal phase matrix, the expected power spectrum of each main lobe pointing direction, and the signal power spectrum of each main lobe pointing direction; determining the synthesized objective function and its gradient with respect to the signal phase matrix; and performing gradient descent search using the conjugate gradient method based on the gradient, correction coefficients, and an iteration termination threshold to determine the final waveform matrix and the final time-varying radiation pattern. This effectively reduces the probability of radar signals being intercepted by local forces, improves the radar signal's self-interference capability, and achieves modulation of the temporal distribution of airspace electromagnetic energy.

The application discloses a kind of perception-assisted vortex electromagnetic wave anti-interference method, device and system, based on the interference signal received by sending end, using EMUSIC joint RSS algorithm, the position information of interference source is estimated, and interference channel state information is obtained accordingly;Based on the complete channel state information known by transceiver end, design transceiver joint phase matrix, eliminate intermodular interference;According to the estimated interference channel state information, the interference signal is decomposed to each mode on sending end, select the L mode that is least affected by interference as the carrier of L-way signal multiplexing transmission;Sending end carries out power allocation to L-way multiplexing signal, to realize maximum spectral efficiency under interference;The signal received by receiving end is demodulated, restores each mode signal, realizes interference suppression;Solve the problem that vortex electromagnetic wave communication anti-interference effect is not good under the condition that interference channel state information is unknown, improve the reliability of communication system.

This invention discloses a method for arranging nanopillars for a meta-lens, comprising dividing a first nanopillar array into a sub-unit matrix composed of multiple sub-units, obtaining a process overspec positioning matrix from the sub-unit matrix to locate process overspec sub-units in the first nanopillar array, obtaining an average phase matrix from the sub-unit matrix, establishing a replacement sub-unit database using the process overspec positioning matrix and the average phase matrix, and selectively replacing process overspec sub-units in the first nanopillar array using the replacement sub-unit database to obtain a second nanopillar array, thereby improving the yield of the meta-lens by taking into account both the expected phase value and process specifications.

The application provides a radiance determination method and device, computer equipment and a readable storage medium, wherein the radiance determination method comprises: obtaining a radiance determination parameter; determining a boundary condition parameter according to the radiance determination parameter; determining atmospheric scattering phase matrix information according to the radiance determination parameter; and determining radiance according to the radiance determination parameter, the atmospheric scattering phase matrix information and boundary condition information. When determining the radiance, the method can determine complete Stokes vector information, including all cosine and sine mode information of four Stokes components; can get rid of the property assumption of the scattering phase matrix and the lower boundary reflection matrix in the existing model, and achieve the effect of completely coupling atmospheric scattering and boundary reflection under general conditions; and removes the interpolation process of radiation transfer solving, and can directly output the radiance result at any zenith angle.

The application relates to the technical field of radar and communication, and specifically discloses an integrated base station computing offloading method based on IRS assistance. First, in the environment of a high-performance edge server near a base station, with the aid of intelligent reflecting surface (IRS) technology, received data is offloaded to the server for centralized processing, and a radar detection and communication uplink joint receiving system is constructed. Then, under the constraints of receiver power, frequency band energy and IRS constant modulus, a computing offloading problem model is constructed to minimize the total energy consumption of the system as a radar point target, so that the receiving vector design is simultaneously optimized. Finally, the computing offloading problem model is decomposed, and the radar and communication receiving vectors and IRS phase matrices are solved respectively. The method realizes the overall performance improvement of each functional module, enhances the adaptability and anti-interference ability of the system in actual complex environments, and realizes the global optimal balance of communication rate, sensing accuracy, time delay and energy efficiency.

The invention discloses a navigation signal compression and capture method based on a local pseudo code measurement matrix, and the method comprises the steps: firstly carrying out the cyclic shift of a navigation signal and a pseudo code, and respectively constructing a navigation signal sampling point matrix and a code phase matrix; and sparse transformation is carried out on the navigation signal through matrix multiplication between the navigation signal sampling point matrix and the code phase matrix to obtain a correlation matrix. Then, a greedy strategy is used for selecting M rows of vectors with the maximum code matrix and the lowest correlation coefficient to construct a measurement matrix, and compression measurement is carried out on the correlation matrix through the measurement matrix constructed through the greedy strategy; secondly, reconstructing the correlation matrix by using a subspace tracking algorithm and a least square operator; and finally, selecting the ratio of the primary peak value to the secondary peak value as a threshold value, and when the ratio of the primary peak value to the secondary peak value of the reconstructed correlation matrix is greater than the threshold value, outputting Doppler frequency offset and code phase offset. Otherwise, the navigation signals are captured again. According to the method, the maximum correlation coefficient of the measurement matrix can be reduced, the navigation signal capturing sensitivity is improved, and hardware resources in the signal capturing process in the navigation receiver can be reduced.

The embodiment of the invention provides an MIMO radar orthogonal waveform multi-dimensional joint design optimization method and related equipment, and belongs to the technical field of radar signal processing. The method comprises the following steps: constructing a preset multi-dimensional joint optimization model; wherein the preset multi-dimensional joint optimization model comprises a distance sidelobe suppression objective function, a directional diagram optimization objective function and a sparse spectrum optimization objective function; performing optimization processing through a preset loop optimization algorithm according to the distance sidelobe suppression target function, the directional diagram optimization target function and the sparse spectrum optimization target function to obtain a joint optimization target function gradient; updating the waveform phase matrix according to the joint optimization objective function gradient; and obtaining a target emission waveform matrix according to the waveform phase matrix. According to the embodiment of the invention, the performance and robustness of the orthogonal waveform are effectively improved, the radar detection performance and the adaptive capacity of a scene are improved, actual requirements are met, and the problems that an optimization model is difficult to solve and part of peak lobe values exist are effectively relieved.

The invention discloses an array flow pattern compression method, system and device based on DCT domain sparse reconstruction, and the method comprises the steps: carrying out the paging processing of an array flow pattern matrix according to the frequency, and obtaining an amplitude matrix and a phase matrix; performing quantization coding processing on the amplitude matrix and the phase matrix to obtain an amplitude quantization matrix and a phase quantization matrix, performing sub-block segmentation processing on the amplitude quantization matrix and the phase quantization matrix, respectively generating a plurality of amplitude quantization matrix sub-blocks and a plurality of phase quantization matrix sub-blocks, and performing DCT transformation on the amplitude quantization matrix sub-blocks and the phase quantization matrix sub-blocks to obtain a sparse matrix of a DCT domain; performing DCT inverse transformation on the sparse matrix of the DCT domain, and realizing sparse reconstruction of amplitude quantization matrix sub-blocks and phase quantization matrix sub-blocks in the DCT domain to obtain original sub-block matrix data; splicing all the original sub-block matrix data into an original amplitude matrix and a phase matrix, and calculating a complex plane matrix of each frequency to obtain an original array manifold matrix; according to the method, the storage space is effectively reduced, and the data access efficiency is remarkably improved.

The invention belongs to the technical field of data processing, and discloses an InSAR non-consistency phase correction method and system based on coherence matrix guidance, a terminal and a storage medium, and the method comprises the steps: obtaining ground feature category data of a target research region, and calculating a symmetric phase matrix and a symmetric coherence time matrix according to the ground feature category data; performing phase reconstruction processing on the symmetric phase matrix to obtain a target closed phase, and constructing a target data set according to the target closed phase and the symmetric coherence time matrix; determining a preset model, and performing model training and model optimization on the preset model according to the target data set to obtain an earth surface deformation displacement test model; and obtaining target ground object category data of the target test area, and inputting the target ground object category data into the ground surface deformation displacement test model to obtain a target ground surface deformation displacement test result. By constructing the earth surface deformation displacement test model, the test efficiency and the test precision of the earth surface deformation displacement test result can be effectively improved.

The application belongs to the technical field of data processing, and discloses an InSAR non-uniform phase correction method and system based on a coherence matrix guide, a terminal and a storage medium, the method comprising: obtaining ground object category data of a target research area, and calculating a symmetric phase matrix and a symmetric coherence time matrix according to the ground object category data; performing phase reconstruction processing on the symmetric phase matrix to obtain a target closed phase, and constructing a target data set according to the target closed phase and the symmetric coherence time matrix; determining a preset model, and performing model training and model optimization on the preset model according to the target data set to obtain a surface deformation displacement test model; obtaining target ground object category data of a target test area, inputting the target ground object category data into the surface deformation displacement test model, and obtaining a target surface deformation displacement test result. The surface deformation displacement test model is constructed, and the test efficiency and test accuracy of the surface deformation displacement test result can be effectively improved.