122 results about "Virtual array" patented technology

The invention belongs to the technical field of array signal processing, and particularly relates to a co-prime array design method based on virtual array hole filling, which comprises the following steps of: S1, forwards moving two sub-arrays of an extended co-prime array by a distance of Nd / 2; s2, turning over one sub-array of the shifted co-prime array to obtain an improved co-prime array; s3, generating a differential virtual array according to the improved co-prime array; s4, introducing and combining the array to carry out hole filling on the differential virtual array; s5, calculating a received signal model and a covariance matrix of the filled virtual array; and S6, DOA estimation is carried out by using an ROOT-MUSIC algorithm. The method has the advantages that better signal source resolution and lower array element mutual coupling are achieved, meanwhile, the continuous freedom degree is improved, more signal sources can be estimated at the same time, and high practical value is achieved.

The invention belongs to the crossing field of information and ocean science and technology, and discloses a DOA estimation method for a UUV broadside parallel co-prime array. According to the method, firstly, a virtual extension array is generated by utilizing an array auto-covariance and cross-covariance matrix, then, Toeplitz completion is carried out on'holes' in the virtual array through trace norm regularization and nuclear norm regularization constraints, a complete covariance structure is recovered, and finally, an extension matrix is constructed, and rotation invariance of a signal subspace of the extension matrix is utilized, so that the covariance structure of the virtual array is obtained. The pitch angle and the azimuth angle of the target are jointly solved, automatic angle pairing is achieved, and the effectiveness and the reliability of the method are verified through simulation results. According to the method, aiming at the application challenges that the UUV broadside array space is limited and the underwater environment is complex, all virtual array elements of the broadside parallel co-prime array are fully utilized, the array freedom degree and estimation precision are remarkably improved, the target detection capacity of the UUV is effectively enhanced, and the method has high practical engineering application value.

The invention discloses a real-time positioning method, system and device supporting multi-frequency Beidou signals and a medium. The method comprises the steps that multi-frequency observation is collected in parallel, and quality features are generated; performing distribution alignment of risk perception based on the quality features to obtain equivalent observation; generating a causal weight by adopting anti-fact evaluation based on influence approximation; in the cross-frequency fusion model, taking multiple paths as potential disturbance quantities, only implementing group stripping on suspicious stars, frequencies or time periods, and solving and outputting a positioning result in combination with robust constraint and increment; a confidence radius is generated on line, the confidence radius is used as a main control signal to execute risk-driven self-adaptive control, and the risk-driven self-adaptive control comprises weight adjustment, measurement subset selection and front-end loop and frequency chain working state adjustment; and implementing topological consistency goalkeeping on a multi-frequency phase level, and triggering time domain virtual array suppression and feeding back to the fusion model when abnormity occurs. The system can significantly improve the precision, robustness and integrity of Beidou multi-frequency real-time positioning.

The invention relates to the field of underwater acoustic detection, and discloses a high-resolution target orientation estimation method and device based on adjacent grid re-optimization, and the method comprises the steps: carrying out the expansion of an array manifold into a virtual array manifold, taking the virtual array manifold as a covariance matrix of an over-complete dictionary construction receiving signal, and carrying out the iterative updating of a noise signal component and a signal component; re-optimizing the adjacent grids to update the dictionary, and performing orientation estimation again in the re-divided intervals; and obtaining a direction-of-arrival estimation result through spectrum peak search. By applying the method, the orientation estimation performance of the underwater vehicle can be improved, and the DOA estimation performance with higher robustness and higher estimation precision can be obtained on a small array.

The invention relates to a high-signal-to-noise-ratio ultrasonic imaging method and device for internal defects of a curved surface component, a medium and a product, and belongs to the technical field of ultrasonic imaging. According to the method, a linear array ultrasonic probe is adopted to carry out single-time ultrasonic excitation on a curved surface component, a full-matrix echo signal is obtained, first arrival time extraction is carried out on the collected signal, an ultrasonic incident angle is estimated, and discrete coordinates of the surface of the component are obtained; the method comprises the following steps of: fitting a curved surface model, constructing an equivalent virtual array model, calculating transmitting and receiving delay time of each pixel point, realizing initial full-focusing beam forming of signals, estimating an expected signal variance and a noise variance based on maximum likelihood estimation, constructing an initial coherent beam forming machine and performing iterative updating, and finally forming a beam. And taking the coherent beam synthesizer obtained by iteration as a weighting factor, acting on an initial beam synthesis signal for weighting, and completing image reconstruction. The method has the advantages of being high in calculation efficiency, low in system overhead, high in imaging signal-to-noise ratio and the like, and accurate imaging can be achieved in a curved surface structure scene.

This invention discloses a deep learning-based channel estimation method for asymmetric all-digital communication systems, comprising: designing an uplink receiving array based on a nested sparse array topology to recover the received signal of the sparse array into a virtual array signal of full dimension; decomposing the obtained virtual signal into a grid part and an off-grid part based on Taylor formula, and designing a two-step-angle estimation net (Ts-AEnet) to estimate the signal angle of arrival; solving a least-squares problem to estimate the signal path gain and reconstructing the downlink channel. This invention proposes an uplink receiving array based on a nested sparse array topology in asymmetric all-digital communication systems, minimizing information loss caused by missing antennas, and proposes a deep learning-based Ts-AEnet angle estimation network, which reduces the complexity of channel estimation while ensuring the system's estimation accuracy.

The invention discloses a millimeter wave radar MIMO multichannel signal sparse separation reconstruction method and system, belongs to the technical field of MIMO radar target detection, and solves the problem of how to improve the MIMO multichannel signal separation efficiency and accuracy, and the method comprises the steps: obtaining a millimeter wave radar echo signal, and converting the millimeter wave radar echo signal into a 4D matrix; performing fast Fourier transform on the 4D matrix to obtain a frequency domain 4D complex matrix and distance-Doppler spectrum data; further obtaining distance-Doppler unit index value pairs corresponding to all peak values; inputting the distance-Doppler unit index value pair into the frequency domain 4D complex matrix to obtain an MIMO multichannel signal two-dimensional matrix; based on the sparse number matrix corresponding to the virtual array, combining with the MIMO multichannel signal two-dimensional matrix, obtaining a two-dimensional sparse reconstruction matrix through numerical relation mapping, and performing vacancy position zero padding operation on the two-dimensional sparse reconstruction matrix to obtain a two-dimensional reconstruction matrix; according to the invention, the efficiency and accuracy of MIMO multi-channel signal separation are improved.

The invention provides a multi-frequency distributed nested array DOA estimation method based on low-rank constraint, and the method comprises the steps: S1, building a receiving signal model of a distributed nested array, and obtaining a receiving signal based on the receiving signal model; s2, calculating a covariance matrix of the received signal, and performing vectorization processing on the covariance matrix to obtain a first virtual array corresponding to the distributed nested array; s3, extrapolating sub-arrays in the first virtual array to fill part of holes existing under the long baseline condition to obtain a second virtual array; s4, zero elements are inserted into the remaining hole positions to obtain a third virtual array, and the rank of the covariance matrix corresponding to the third virtual array is recovered; s5, establishing a matrix reconstruction model combining the low-rank constraint and the sparsity constraint, and solving to obtain a complemented covariance matrix; and S6, carrying out characteristic decomposition on the complemented covariance matrix to obtain a final DOA estimation value.

The invention discloses a novel non-uniform array-based signal source positioning method, which comprises the following steps of: determining an actual array element position through flexible array distribution according to environmental characteristics when a target signal reaches the ground; calculating a virtual domain differential common array, determining the position of a virtual array element, constructing a signal model, and calculating a covariance matrix; vectorizing the covariance matrix, and removing redundancy to obtain an equivalent receiving signal of the virtual domain; performing spatial smoothing processing on the equivalent covariance matrix of the virtual domain to obtain a smoothed data correlation matrix; after characteristic decomposition, constructing a signal subspace; and finally, dividing signal subspaces based on an ESPRIT algorithm idea, and calculating a rotation matrix to obtain an estimated angle. The designed non-uniform array can flexibly adjust the array element layout according to complex environment characteristics, the flexible array layout strategy improves the freedom degree of the array, the spatial sampling and signal analysis efficiency is optimized, meanwhile, the calculation path is simplified, and the algorithm complexity is reduced.

The invention relates to a two-dimensional staggered array MIMO (Multiple Input Multiple Output) radar system for monitoring dynamic deformation of a bridge, which realizes decoupling of spatial resolution and time resolution by adopting a two-dimensional staggered array MIMO radar hardware architecture and replacing traditional mobile synthetic aperture with static virtual aperture synthesis through integrated design. According to the system, a continuous virtual area array is synthesized through transmitting and receiving arrays which are in non-uniform sparse arrangement, and high-resolution three-dimensional imaging of a bridge monitoring area is realized in combination with an FMCW signal processing and near-field three-dimensional imaging algorithm; and carrying out pixel-level processing on the serialized three-dimensional complex image by using a rapid time sequence interference and deformation extraction module to obtain a high-precision deformation sequence. The method does not need a mechanical scanning part, has the advantages of high environmental robustness, low hardware cost, flexible deployment and the like, and can provide panoramic and high-precision four-dimensional dynamic deformation field data for bridge structure state evaluation.

The invention discloses a TDM-MIMO radar Doppler phase offset compensation method based on iteration, and the method comprises the steps: carrying out the equivalent conversion of a TDM-MIMO radar model into a one-transmitting-multiple-receiving virtual array model, building a signal receiving model of a virtual array, and obtaining a beat signal; constructing a target echo space-time joint matrix; constructing an airspace signal vector based on the target initial Doppler frequency; and performing iterative estimation on target angle estimation and Doppler frequency, and estimating the angle by using a phase offset compensation result. According to the method, the Doppler frequency is scanned more meticulously by constructing the Doppler frequency scanning manifold matrix, the Doppler frequency dimension and the angle dimension are decoupled, the space-time combined two-dimensional estimation is converted into two one-dimensional estimation, and the accurate Doppler frequency and angle are obtained after few times of iteration.

The spatial resolution of the virtual array antenna and the accuracy of the virtual array antenna's target direction estimation are adjusted according to the purpose. [Solution] The antenna device according to the embodiment comprises a reference signal generation unit, a first module, a second module, and a phase value generation unit. The phase value generation unit generates a first phase value based on the phase difference of the received signals in at least two virtual antennas, which are formed based on the received signals received by at least a portion of the first receiving antenna and the second receiving antenna when the first transmitting antenna transmits a transmission signal based on the first reference signal. The first transmission processing circuit shifts the phase of the second reference signal, which is transmitted by the second transmitting antenna after the first transmitting antenna, by the first phase value.

The present invention relates to the technical field of underwater acoustic array signal processing, and discloses a nested array coherent target azimuth estimation method, system and terminal based on CLEAN. The target azimuth estimation method comprises: S1. configuring a nested array, receiving a narrowband signal, and constructing a narrowband signal model; S2. calculating the covariance matrix of a non-undersampled subarray; S3. calculating an estimated value of each target azimuth in the narrowband signal model; S4. constructing clear signals of the nested array for different targets, and calculating the covariance matrix of the clear signals of different targets; S5. vectorizing the covariance matrix of the clear signal to obtain a received signal of a virtual array; S6. calculating an updated estimated value of each target azimuth; S7. using the updated estimated value as input, cyclically executing steps S4 to S6, and repeating three times to obtain a target azimuth estimate. Compared with a method based on a uniform linear array with the same number of array elements, the present invention can achieve higher angular resolution, a narrower mainlobe width, and a lower sidelobe level.

Provided are a signal transmission method, a communication apparatus, a storage medium and a program product. The method comprises: determining array elements in a coprime array, wherein the array elements in the coprime array are some array elements in an antenna array of a first communication apparatus; and on the basis of hybrid beamforming, transmitting a first signal by means of the coprime array. The coprime array can achieve a larger virtual aperture by means of fewer physical array elements, or in other words, the number of equivalent virtual array elements is usually greater than the number of physical array elements. In this way, a transmitter of the first signal can use fewer array elements to implement beamforming of more signals; and a receiver of the first signal can use fewer array elements to implement DOA estimation of more signals, thereby improving the degrees of freedom of DOA estimation.

The invention discloses a resolution-oriented 4D millimeter wave radar antenna array and physical layout collaborative optimization method, a program, equipment and a storage medium, which are suitable for a radar system with a limited space and a multi-chip structure. The method comprises the steps of firstly collecting system input parameters; then, an antenna design constraint model is constructed, spatial discretization is carried out, and an optimizable matrix model is formed; transmitting and receiving array structures in the azimuth angle direction and the pitch angle direction are jointly designed through a virtual array mapping strategy, so that the requirements of MIMO mapping efficiency maximization and target angle resolution are met. After an antenna structure is determined, an optimization objective function is further constructed based on strong constraint and soft constraint, and an antenna layout scheme which meets the manufacturing requirements and has optimal performance is obtained through a traversal and search method. According to the method, the virtual aperture can be effectively improved, the antenna number redundancy is reduced, the wiring accessibility is optimized, and the resolution and engineering realizability of a 4D radar system are enhanced.

The invention relates to a movable array-based communication and induction integrated positioning method and system. The method comprises the steps of (1) time division ISAC mode configuration; (2) establishing a mobile array continuous moment signal transceiving model in the sensing time slot; (3) establishing a discrete signal transceiving model of the movable array in the sensing time slot; (4) performing joint processing on the signals in the plurality of discrete sensing time slots, enabling Doppler-induced time phase change to be equivalent to space phase deviation, and constructing a space-time steering vector model; (5) converting the space-time steering vector model into an equivalent virtual array; and (6) modeling the received signal into a sparse representation model, and performing angle positioning on the target through a compressed sensing algorithm. Compared with the prior art, the method provided by the invention can realize angle positioning with higher precision under the same physical antenna array element.

A three-dimensional millimeter wave time-varying channel estimation method and device belong to the field of wireless communication, comprising: establishing a millimeter wave communication system containing array motion; establishing a three-dimensional time-varying channel model considering Doppler effect, analyzing the synthesized signal in the three-dimensional time-varying channel caused by array motion, each column of the synthesized direction matrix being consistent with the array manifold of the planar array, indicating that the linear array in motion can form a virtual planar array; realizing sparse representation of the three-dimensional time-varying channel through linear array motion; recovering the three-dimensional time-varying channel based on the iterative meshless weighted algorithm of array motion; comprising AoAs estimation and path gain estimation. The application overcomes the negative influence of Doppler frequency shift in the time-varying channel on channel estimation, constructs virtual array elements, realizes channel estimation on the three-dimensional millimeter wave time-varying channel through linear array motion, improves channel estimation accuracy, and greatly reduces pilot overhead and algorithm complexity.

Provided is a memory array. The memory array includes at least one main array and at least one dummy array, the main array is adjacent to the dummy array, at least one resistive memory cell of the dummy array shares a same bit line with at least one resistive memory cell of an adjacent main array; and the size of the at least one resistive memory cell of the dummy array is greater than that of the at least one resistive memory cell of the adjacent main array. The larger size of the resistive memory cell corresponds to lower forming voltage, making it easier to change from a high resistance state to a low resistance state. As such, the initial state of the resistive memory cell in the main array can be in the high resistance state, thereby improving the yield of the memory array.

The application discloses a sparse array group array method based on three uniform linear array cascades and application, utilizes three uniform linear array group arrays, reduces mutual coupling influence by setting large subarray element spacing, and can obtain a large-aperture virtual uniform linear antenna array by setting reasonable subarray spacing, and then high-precision DOA estimation without ambiguity can be completed. The application improves the element positions of three subarrays in the existing three uniform linear array cascade, constructs a low mutual coupling array based on three uniform linear array cascades, realizes the optimization target that the element weight values of elements smaller than the subarray element spacing in the difference set are 1, effectively improves the mutual coupling leakage phenomenon existing between the elements of the existing sparse array, guarantees the low mutual coupling, and guarantees the continuous virtual array aperture. Under the condition of strong mutual coupling, the array pattern can obtain the highest DOA estimation precision, meanwhile, with the increase of the mutual coupling strength, the array pattern has good robustness.

This invention belongs to the field of information and marine technology, and discloses a method for estimating the DOA (Direction of Aperture) of a UUV (Ultra-UV) hull-side array using conjugate enhancement and virtual extension. This method performs conjugate enhancement processing on the received signal from a parallel coprime array, calculates the augmented statistical matrix including autocorrelation, conjugate autocorrelation, cross-correlation, and conjugate cross-correlation, and constructs an extended correlation matrix through weighted combination. A virtual uniform linear array is constructed using the differential co-array characteristics of the coprime array. A redundant integration matrix is ​​designed to remove redundancy from the covariance matrix, obtaining the equivalent signal of the virtual array. Then, the covariance matrix of the virtual array with a Toeplitz structure is reconstructed. Finally, a dual rotation-invariant subspace algorithm is used to achieve high-precision, automatic pairing estimation of the underwater target's azimuth and pitch angles. This invention extends the array aperture, improves the estimation robustness in low signal-to-noise ratio environments, and eliminates the need for spectral peak search, providing technical support for UUV underwater target positioning.

A method for sharing reconfigurable array modes in a MIMO frequency-modulated millimeter-wave radar array is proposed. Based on the echo signal data matrices obtained after analog-to-digital conversion of different modes, range-dimensional Fast Fourier Transform (FFT) and velocity-dimensional FFT are performed on them respectively to obtain the range-Doppler spectrum of different transmit / receive antenna combinations. Different modes with the same gain in the MIMO radar system are combined. Among the combinations with the same gain, the mode corresponding to the largest virtual array aperture in the horizontal and elevation directions under that gain is selected. The angles of these two modes are resolved and matched separately, and then combined to achieve the maximum virtual array aperture resolution. Digital beamforming is used to match the angle information obtained under the maximum aperture virtual array in the horizontal and elevation dimensions. This invention can effectively increase the maximum array aperture in the original modes with the same gain by utilizing the complementary effect between different reconfigurable array modes while using virtual array reconfigurable technology or MIMO technology.

This invention relates to an improved spatially smoothed source angle estimation method and apparatus based on a coprime linear array. The method includes: acquiring a signal from a source under test using an augmented coprime array to obtain a received signal; vectorizing the covariance matrix of the received signal, sorting the resulting vectors according to the element positions of the uniform linear array, and processing them according to a data processing strategy to obtain a virtual signal received by a virtual array; uniformly dividing the virtual array into overlapping virtual subarrays based on a pre-constructed spatial smoothing rule, and calculating the spatial smoothing covariance matrix of the received signals from the virtual subarrays; performing eigenvalue decomposition on the spatial smoothing covariance matrix using a predefined spatial spectrum estimation method to obtain a spatial spectrum function; and performing spectral peak search on the spatial spectrum function to determine the source angle of the source under test. The method provided by this invention improves the array degrees of freedom and the accuracy of source angle estimation by constructing a larger number of virtual array elements.

The invention belongs to the technical field of direction of arrival, and relates to a sparse array coherent signal source DOA estimation method based on Toeplitz matrix reconstruction. Comprising the following steps: S1, assuming that a coherent signal source is incident to a sparse array, further constructing a sparse array observation signal model, and further solving a theoretical covariance matrix of the sparse array observation signal model; s2, performing solution operation on the theoretical covariance matrix in the S1; s2, on the basis of the S2, further constructing a Hermitian Toeplitz matrix through virtual array interpolation, and further realizing DOA estimation based on the virtual array interpolation; and S3, obtaining a virtual ULA based on the sparse array of the S1 by combining the S2, performing solution operation on the virtual ULA, and then constructing a Toeplitz matrix based on physical array interpolation so as to realize DOA estimation based on virtual array interpolation. According to the algorithm provided by the invention, the coherent signal source can be accurately estimated under the condition that the degree of freedom and the array aperture are not lost. Simulation experiment results show that the proposed algorithm is superior to the existing algorithm in the aspect of estimating the coherent source.

The invention discloses an equivalent analysis method based on a wide-spacing low-sidelobe horn antenna array, and relates to the technical field of simulation analysis. A phase lag characteristic when electromagnetic waves pass through a medium is utilized, a symmetric medium is taken as the medium, equivalent power division is performed on a large-aperture antenna, and a virtual array unit is constructed, so that the size of an array element is equivalently reduced, and the aim of reducing the sidelobe level of the wide-spacing array antenna is fulfilled. According to the scheme, a virtual dense array is equivalently formed by utilizing the phase modulation effect of a medium on electromagnetic waves under the condition of maintaining a wide-spacing physical layout, so that the problem that high gain and low sidelobe performance are difficult to consider at the same time is solved; a passive medium is adopted to replace a traditional complex feed network, so that the problem of complexity caused by a multi-stage power division structure is thoroughly avoided while the insertion loss of the system is remarkably reduced; through the design of the parameterized adjustable dielectric plate, the mutual coupling effect between the array elements is effectively suppressed, so that the actual side lobe performance is highly matched with the theoretical prediction, and the manufacturing cost and the system complexity are greatly reduced while the antenna radiation performance is improved as a whole.

The purpose of this invention is to provide a method for DOA estimation of acoustic vector arrays based on quaternion matrix dimensionality reduction, comprising the following steps: constructing a CAACIS acoustic vector coprime array at the receiver; establishing a quaternion model of the received signal based on the array output; estimating the quaternion covariance matrix; performing dimensionality reduction on the quaternion covariance matrix to obtain a virtual array received signal model of the acoustic vector coprime array; reconstructing the Hermitian-Toeplitz matrix; performing eigenvalue decomposition on the Hermitian-Toeplitz matrix and constructing a spatial spectral function; and obtaining the DOA estimation result through spectral peak search. This invention addresses the problem of how to achieve multi-objective DOA estimation with both low complexity and good performance based on a quaternion framework under acoustic vector coprime arrays.

The invention provides an array element failure fault-tolerant arrival direction estimation method and device based on incomplete tensor reconstruction, and belongs to the technical field of array signal processing. The method comprises the following steps: carrying out array element working state detection on a received signal of an L-shaped sensor array so as to construct three-order incomplete signal tensors of two direction arrays; performing cross-correlation operation on the third-order incomplete signal tensor to obtain an incomplete cross-correlation tensor, performing virtual array expansion processing to obtain a fifth-order incomplete augmented tensor, and reshaping the fifth-order incomplete augmented tensor into a third-order incomplete target tensor; and generating a mask tensor corresponding to the third-order incomplete target tensor, and then constructing and solving an optimization problem to obtain a factor matrix decomposition result so as to extract an estimation result of the direction of arrival. According to the method, the array physical defect problem is converted into a data recovery task, the self-healing capability defined by software is realized, and the robustness and accuracy of DOA estimation in the array element random failure scene are remarkably improved.

The invention belongs to the technical field of array signal processing, and provides an extended co-prime array optimization method based on hole-driven greedy complementary points. The method comprises the following steps: S1, constructing an extended co-prime array, and selecting co-prime pairs (M, N) to generate a sub-array I and a sub-array II; s2, translating the sub-array 2, and determining a unique optimal shift amount through a comprehensive evaluation function; s3, turning over the second sub-array on the basis, extracting a hole set in the virtual differential array, adopting a greedy strategy to gradually supplement points to improve the center continuous degree of freedom, and controlling the number of newly added array elements through a parameter K; and S4, when the number of iterations reaches K or the complementary points are invalid, ending and outputting a final array structure. S5, performing direction of arrival estimation by using a spatial spectrum estimation algorithm under the ideal and coupled model; according to the method, the center continuous interval of the virtual array can be obviously expanded under the condition of limited physical array elements, the structure utilization rate and the array performance are improved, the accuracy and stability of direction-of-arrival estimation are improved, and the method has high engineering application value.

The invention discloses an antenna angle measurement method, device and equipment based on a virtual array. When an angle measurement task of a target antenna is executed for the first time, firstly, a moving track of the target antenna can be determined according to an angle measurement requirement, M physical sampling positions are uniformly selected on the track, and three-dimensional coordinates of the M physical sampling positions are recorded; and then the physical sampling positions are equivalent to virtual array antenna array elements, and a virtual array antenna is formed according to track arrangement. Wireless signals of a narrowband signal source are received on the virtual array and converted into a complex signal matrix, DBF angle estimation is carried out on the virtual array antenna in combination with the complex signal matrix, a DOA preliminary estimation angle is obtained, and adjacent sum and difference beams are constructed based on the estimation angle. And an estimation deviation is solved by using adjacent beams, and the preliminarily estimated angle is corrected to obtain a final accurate angle estimation result. The DOA estimation precision can be improved on the premise that the hardware cost and the system complexity are not increased.

The application provides a high-degree-of-freedom DOA estimation method based on a mirror image co-prime array in a pulse noise environment, and relates to the technical field of array signal processing, and comprises the following steps: S1: obtaining an observation signal by relying on non-circular signal characteristics; S2: calculating a pseudo-covariance matrix based on the information of the observation signal and a square-based correlation entropy operator to suppress the pulse noise; S3: vectorizing the pseudo-covariance matrix to obtain a virtual vector, removing redundant rows in the virtual vector, and performing truncation and sorting according to positions corresponding to continuous virtual array elements to obtain a virtual array receiving signal; S4: performing spatial smoothing on the virtual array receiving signal to obtain a full-rank reconstructed covariance matrix; S5: obtaining a noise subspace by performing eigenvalue decomposition on the covariance matrix; and S6: obtaining an accurate DOA estimation value by performing spectral peak searching on the noise subspace by using a MUSIC algorithm. The method has a high degree of freedom, can accurately complete DOA estimation in a pulse noise environment, and has good performance.

The invention discloses a UWB radar angle measurement method and device based on TDM-MIMO, and belongs to the technical field of radar signal processing. The method comprises the following steps: controlling the radar system to work according to a preset time sequence, switching and controlling the connection and working states of at least two bidirectional channels and at least four physical antennas in different time slices through a switch, and performing time-sharing configuration into a transmitting or receiving mode to obtain echo data; wherein the switching time of the radio frequency switch is less than the difference value between the minimum flight time of the signal and the emission duration time, so as to ensure that the switching does not influence normal transceiving. And recombining the data based on the equivalent spatial positions of the physical antennas in different time slices to form a virtual antenna array, and then estimating the direction of arrival. The device comprises a radar chip, an antenna array, a switching network and a control processing unit. According to the invention, through the optimized TDM-MIMO time sequence and strict time sequence constraint, a large-scale virtual array is formed by using a small amount of hardware resources, and high-precision angle measurement is realized with relatively low system complexity.