39 results about "Coprime 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 application discloses a two-dimensional coherent signal DOA estimation method based on double parallel relatively prime array movement, which comprises the following steps: a double parallel array comprises a first subarray and a second subarray, phase compensation is performed on the output of the first subarray and the output of the second subarray to obtain first subarray compensation output and second subarray compensation output; a first vector is obtained based on the first subarray compensation output and the second subarray compensation output, and a second vector is obtained based on the first subarray compensation output; a sparse off-grid optimization function is constructed; accurate angle estimation of an incident signal and an X axis is obtained based on the sparse off-grid optimization function; angle estimation of the incident signal and a Y axis is obtained based on the first vector and the second vector; and angle estimation value of the two-dimensional coherent signal is obtained based on the accurate angle estimation of the incident signal and the X axis and the angle estimation of the incident signal and the Y axis. The application uses the double parallel relatively prime array to perform angle estimation of the two-dimensional coherent signal, and makes up for the deficiency of the relatively prime array in angle estimation of a coherent source.

The invention discloses a V-shaped co-prime array two-dimensional direction finding method and system based on array transformation. According to the method, firstly, array improvement is carried out on the basis of a traditional co-prime array; secondly, receiving a signal through an array antenna of a sparse array structure after array improvement, and obtaining a noise subspace through covariance matrix solving and eigenvalue decomposition; and finally, constructing a MUSIC spectral function, searching to obtain a joint pitch angle and an azimuth angle based on the noise subspace, and finally calculating a DOA estimated value of the information source. The array structures VCACS and VCACSS provided by the invention have a larger degree of freedom and fewer array elements to carry out two-dimensional parameter estimation, so that the azimuth angle and the elevation angle do not influence each other when the azimuth angle and the elevation angle are estimated respectively, and the estimation result is more accurate.

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 application discloses a DOA and Doppler frequency joint calculation method under unequal time domain parameter space-time coprime sampling, belongs to the field of signal processing, and is particularly aimed at the joint estimation of a direction of arrival and a Doppler frequency under the condition that physical resources are limited, and is suitable for joint coprime sampling and optimization of a space array and a time sequence. In the scheme, a coprime array is used in the space domain, coprime sampling is performed in the time domain, and different time domain coprime parameters are allowed to be selected at each antenna. Through the scheme, a larger virtual aperture is generated under the condition that the number of antennas and the number of sampling points are limited, so that the degree of freedom and the estimation resolution are improved.

The application discloses a low-redundancy high-order measurement direction method and system based on the coprime characteristic and a computer storage medium, and the method comprises the following steps: receiving signals from multiple signal sources by using a low-redundancy array improved based on a coprime array to obtain received signals; calculating a fourth-order cumulant matrix of the received signals according to the received signals; obtaining a covariance matrix according to the fourth-order cumulant matrix; calculating eigenvalues and eigenvectors of the covariance matrix according to the covariance matrix; dividing the eigenvectors into a signal subspace and a noise subspace according to the sizes of the eigenvalues; constructing a spectral function according to projections of the steering vectors on the noise subspace; searching for peak values of the spectral function in all possible directions to determine the directions of the signal sources. The low-redundancy array improved based on the coprime array can not only expand the estimated number of signal sources on the basis of reducing the number of received array elements, but also adopt the fourth-order cumulant, so that the positioning precision in a non-Gaussian noise environment can be improved.

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.

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 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 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 application discloses a V-shaped coprime array two-dimensional direction finding method and system based on array transformation, which first improves the array on the basis of a traditional shape coprime array. Secondly, the array antenna of the array improved shape sparse array structure receives signals, and through solving a covariance matrix and eigenvalue decomposition, a noise subspace is obtained. Finally, a MUSIC spectrum function is constructed, joint elevation and azimuth are searched and obtained based on the noise subspace, and finally, the DOA estimation value of the signal source is calculated. The array structure VCACS and VCACSS proposed in the application have greater degrees of freedom and fewer array elements for two-dimensional parameter estimation, so that the azimuth and the elevation are not affected when the azimuth and the elevation are estimated respectively, and the estimation result is more accurate.

This invention discloses a design method for a Type I ternary coprime array based on coprime sparse arrangement, relating to the field of array structure design. Two coprime positive integers M and N are selected to construct the basic structure of a prototype coprime array. A subarray with n elements and n spacing is added in reverse to the prototype coprime array to form a Type I ternary coprime array. Based on the distribution law of holes in the prototype coprime array, the lower bound expression of the optimal parameters of the subarray can be obtained, ensuring that the holes in the prototype coprime array are completely filled. Analytical expressions for the distinct and continuous degrees of freedom of the Type I ternary coprime array are derived. The method is scalable, allowing for the expansion of array degrees of freedom without destroying the prototype coprime array structure by adding array elements in reverse. The Type I ternary coprime array designed using this method exhibits weak mutual coupling, scalability, and high distinct degrees of freedom.

The invention belongs to the technical field of information and marine science and technology, and discloses a UUV broadside array DOA estimation method based on conjugate enhancement and virtual extension. According to the method, conjugate enhancement processing is carried out on parallel co-prime array receiving signals, augmented statistical matrixes including autocorrelation, conjugate autocorrelation, cross-correlation and conjugate cross-correlation are calculated, and weighted combination is carried out to construct an extended correlation matrix. The method comprises the following steps: constructing a virtual uniform linear array by using the differential common-array characteristic of a co-prime array, designing a redundancy integration matrix to perform redundancy elimination processing on a covariance matrix, obtaining an equivalent signal of a virtual array, and further reconstructing a virtual array covariance matrix with a Toeplitz structure, and finally, high-precision and automatic pairing estimation of the azimuth angle and the pitch angle of the underwater target is realized through a dual-rotation invariant subspace algorithm. According to the method, the array aperture is expanded, the estimation robustness in a low signal-to-noise ratio environment is improved, spectral peak search is not needed, and technical support is provided for UUV underwater target positioning.

This invention discloses a coherent source adaptive beamforming method based on coprime array interpolation, belonging to the field of radar anti-jamming technology. It comprises two stages: a first stage of decoherence covariance matrix reconstruction and a second stage of adaptive beamformer construction. In the first stage, by constructing a sensor position model of the coprime array, a mathematical model of signal reception, descriptions of signal and interference, and the definition of the steering vector, the received signal is interpolated. The method utilizes the properties of decoherence by taking a diagonal matrix and the Vandermonde decomposition of the Taplez matrix to achieve effective separation of coherent source interference from the target signal. In the second stage, by reconstructing the interference and noise covariance matrices, an adaptive beamformer is designed, ultimately achieving high-precision detection and extraction of target signals in complex environments.

The invention provides a k-fold expansion and filling co-prime array design method. The k-fold expansion and filling co-prime array design method comprises the following steps of 1, setting a structure of an original co-prime array; 2, constructing an expanded co-prime array, and determining the positions of holes in a non-negative part in a differential co-array; 3, constructing a k-fold expanded co-prime array, and determining the value of the sub-array spacing and the position of a non-negative part hole in a differential co-array; 4, through hole filling, constructing a k-fold expansion filling co-prime array, and calculating a physical aperture, a uniform degree of freedom, a degree of freedom, a weighting function and optimal configuration of parameters when the uniform degree of freedom is given; and step 5, filling part of array element spacing of the co-prime array by compressing k-fold expansion, constructing a k-fold expansion filling co-prime array with compressed array element spacing, and determining composition conditions of the array. According to the method, the differential common-array freedom degree is remarkably improved, the mutual coupling effect between array elements is effectively restrained, and therefore the DOA estimation precision and the resolving power are improved.

This application provides a near-field target localization method, apparatus, electronic device, and storage medium, belonging to the field of communication technology. The method includes: acquiring an initial received signal of a preset symmetric coprime array; determining a first covariance matrix of the initial received signal based on the initial received signal; performing calculations based on the first covariance matrix to obtain an equivalent received signal of the initial received signal; determining a second covariance matrix of the equivalent received signal based on the equivalent received signal; performing spatial smoothing on the second covariance matrix to obtain a third covariance matrix of the equivalent received signal; performing a one-dimensional angle spectral peak search on the third covariance matrix to obtain a first angle between the near-field target and the central array element; and performing a one-dimensional distance spectral peak search on the first covariance matrix based on the first angle to obtain a first distance between the near-field target and the central array element. This application significantly reduces the computational overhead during near-field target localization.

The invention discloses an II-type ternary co-prime array design method based on co-prime sparse arrangement, and relates to the field of array structure design. Basic co-prime number pairs, additional array elements and third sub-array parameters are determined, two co-prime positive integers M and N are selected to construct a prototype co-prime array basic structure, a prototype co-prime array comprises a sub-array 1 with the array element number being N and the interval being Md and a sub-array 2 with the array element number being M and the interval being Nd, and d is the unit array element interval; an array element is added in the positive direction of the prototype co-prime array, and then uniform sub-arrays with the number of the array elements and the interval of the array elements are added in the reverse direction, so that the II-type ternary co-prime array is formed. The II-type ternary co-prime array designed by the method has the characteristics of high continuous degree of freedom, weak mutual coupling, modularization and expandability.

The invention discloses an I-type ternary co-prime array design method based on co-prime sparse arrangement, and relates to the field of array structure design. Selecting two co-prime positive integers M and N to construct a prototype co-prime array basic structure; a group of sub-arrays with the array element number being 1 and the interval being 1 are reversely added on the basis of the prototype co-prime array, and an I-type ternary co-prime array is formed; on the basis of a prototype co-prime array hole distribution rule, an optimal parameter lower bound expression of the sub-array can be obtained, so that prototype co-prime array holes are completely filled; deriving analytic expressions of dissimilar degrees of freedom and continuous degrees of freedom of the I-type ternary co-prime array; and expandability is achieved, the prototype co-prime array structure is not damaged, and array freedom degree expansion is achieved by reversely increasing array elements. The I-type ternary co-prime array designed by the method has the characteristics of weak mutual coupling, expandability and high dissimilar degree of freedom.

The invention provides a convolution beam space DOA estimation method based on hole filling, so as to solve challenges faced by a traditional convolution beam space method. According to the algorithm, differential common array holes are filled through low-rank matrix recovery, a solving framework is constructed through an alternating direction multiplier method, and a multi-phase component averaging strategy based on a sliding window is designed for the extraction process. Simulation results show that the method solves the problem that the precision of a traditional convolution beam space method is reduced, and only negligible extra time overhead is introduced. Through comparison, the performance of the provided method is better than that of a traditional convolution beam space method and a method based on atom norm minimization and CVX toolbox solving, and the advantages are crucial for realizing real-time and high-precision DOA estimation in a large-scale extended co-prime array scene.

The invention relates to a target DOA estimation method and system based on an MIMO radar co-prime array. The method comprises the following steps: acquiring multiple groups of first arrays with uniform azimuth array element spacing, wherein the azimuth array element spacing of each group of first arrays is relatively prime pairwise; performing pitching position completion on each group of first arrays to obtain a second array; for an array element consistent with the original array element in position in the second linear array, retaining a corresponding array element complex signal, and for an array element inconsistent with the original array element in position, performing phase compensation based on a pitch array element spacing difference and a pitch angle to obtain a new array element complex signal; dOA estimation is carried out on each group of third arrays, and an angle value is selected from the angle set and combined to form an angle subset; performing difference value elimination processing on the angle subset, and calculating a first matching degree based on a constructed cost function; and determining a target angle estimation value based on the angle subset of which the matching degree exceeds a set first matching degree threshold value. The method can greatly reduce the generation probability of false alarms.

Provided are a signal transmission method, a communication device, a storage medium and a program product, the method comprising: determining array elements in a co-prime array, the array elements in the co-prime array being a part of array elements in an antenna array of a first communication device; and sending a first signal through the co-prime array based on hybrid beamforming. According to the co-prime array, a larger virtual aperture can be realized through fewer physical array elements, or the number of equivalent virtual array elements is generally greater than that of the physical array elements, so that for a sender of the first signal, beamforming of more paths of signals can be realized by using fewer array elements; and for the receiver of the first signal, the DOA estimation of more paths of signals can be realized by using fewer array elements, so that the degree of freedom of the DOA estimation is improved.

The invention discloses an underwater target detection and positioning method and system based on a passive sonar array, and relates to the technical field of underwater acoustic signal processing. Acoustic signals radiated by an underwater target are received and divided into dense subarray data and sparse subarray data; performing a sparse Bayesian learning algorithm on the sparse subarray data, and outputting a high-precision fuzzy value; carrying out azimuth estimation on the dense subarray data in a full-angle range through a dense part to obtain a low-precision unambiguous value; and fusing the high-precision fuzzy value and the low-precision non-fuzzy value through an estimation matching model to obtain an orientation estimation result of the underwater target. According to the method, high-precision azimuth estimation is carried out based on the combination of the ternary co-prime array and the compressed grid sparse Bayesian learning, high-precision (but fuzzy) estimation is carried out by utilizing the sparse part of the TCA array, low-precision (but non-fuzzy) estimation is carried out by utilizing the dense part, and high-precision target azimuth estimation under low operand is realized.

The application discloses a high-order off-grid DOA estimation method and system based on an extended coprime array and belongs to the field of polar water sound detection. The method comprises the following steps: acquiring signals received by the extended coprime array to form a receiving data matrix; introducing a phase fraction low-order moment method to construct a phase fraction low-order moment matrix C, vectorizing C, removing redundancy and rearranging to obtain a single-snapshot continuous virtual uniform linear array signal vector z1; based on z1, using a division method of an overlapping subarray to construct a multiple measurement signal vector matrix Z; using a high-order Taylor expansion term to construct an off-grid model, using an extrapolation-based iterative sparse projection algorithm to jointly estimate a sparse signal matrix and a grid offset according to the matrix Z, and estimating the DOA of a target. The application provides a new solution to the problems of performance decline of a conventional DOA estimation method in a polar pulse noise environment and a limited number of detectable targets of a traditional uniform linear array.

Disclosed in the present invention is a method for estimating a direction of arrival of a sub-array partition type L-shaped coprime array based on fourth-order sampling covariance tensor denoising. The implementation steps are as follows: constructing an L-shaped coprime array partitioned with linear sub-arrays; modeling a receiving signal of the L-shaped coprime array and deriving a second-order cross-correlation matrix thereof; deriving a fourth-order covariance tensor based on the cross-correlation matrix; realizing fourth-order sampling covariance tensor denoising based on kernel tensor thresholding; deriving a fourth-order virtual domain signal based on denoised sampling covariance tensor; constructing a denoised structured virtual domain tensor; obtaining a direction of arrival estimation result by decomposing the structured virtual domain tensor. The present invention makes full use of the statistical distribution characteristics of the high-order tensor of the constructed sub-array partition type L-shaped coprime array, realizes high-precision two-dimensional direction of arrival estimation through denoised virtual domain tensor signal processing, and can be used for target positioning.

The application discloses a kind of sparse array design method based on coprime array redundancy analysis, it is related to DOA estimation field.The steps include: step 1: the signal model of coprime array is established;Step 2: coprime array is analyzed to redundancy virtual element;Step 3: based on the analysis result of step 2, two shift coprime arrays are formed by moving subarray, which are CATrS-I array structure and CATrS-II array structure respectively;Step 4: using CATrS-I array structure or CATrS-II array structure carries out DOA estimation.The application gives two kinds of subarray shift coprime arrays CATrS-I and CATrS-II, can effectively increase degree of freedom and continuous degree of freedom under the condition of keeping the total number of physical elements unchanged, and suppresses element mutual coupling.

This invention relates to the field of radar signal processing technology, specifically to a method and apparatus for sparse reconstruction of array signals based on virtual array fragment expansion. The method mainly includes: generating an extended coprime physical array based on configuration parameters according to the array element requirements; constructing the far-field signal of the extended coprime physical array; modeling the received signal of the extended coprime array, constructing a virtual array of the extended coprime array and performing continuity judgment; for a continuous virtual array, estimating the target azimuth of a uniform linear array based on the continuous virtual array; for a discontinuous virtual array, selecting the two longest segments from the virtual array fragments, modeling the signal based on the longer segment, and selecting the other segment as a verification array, thereby realizing the reconstruction of discontinuous virtual array signals based on virtual array fragment expansion. This invention, based on the sparse reconstruction of discontinuous virtual array signals based on virtual array fragment expansion, solves the problem of difficult array element damage repair during the deployment of underwater acoustic arrays.

The invention discloses a distributed DOA estimation method based on an extended co-prime array, and the method comprises the steps: S1, uniformly dividing a receiving array into Q sub-arrays, employing extended co-prime array configuration for each sub-array structure, constructing a receiving signal according to the array, and carrying out the modeling; s2, constructing a covariance matrix according to the received signal model of each sub-array, and vectorizing the covariance matrix of each sub-array to obtain a virtual array received signal model; s3, redundancy elimination is carried out on the obtained virtual array receiving signal model, and a longest continuous ULA receiving signal part in the virtual array receiving signal model is taken; s4, performing grid division on the obtained receiving signal by adopting a sparse representation method to obtain a receiving signal model based on sparse representation; s5, constructing an optimization problem based on a signal model obtained after grid division; and S6, solving the optimization problem by adopting an alternating vector multiplier (ADMM) method to obtain an angle estimation value. The DOA estimation precision with the same effect can be realized, and the cost and the complexity can be further reduced.

The application discloses a DOA estimation method and system based on a deep complex convolution attention residual network, and belongs to the technical field of array signal processing. The application solves the technical problems of low precision and poor robustness of the existing DOA estimation method under poor conditions such as low signal-to-noise ratio and limited number of fast shots. The application comprises the following steps: collecting data by using a coprime array and preprocessing SCM data to obtain original input information for DOA estimation; constructing a deep complex convolution attention residual network to directly process covariance matrix information in a complex domain, using an initial two-dimensional complex convolution layer, a cascaded complex convolution block attention network and a cross-layer residual connection structure to deeply extract complex value features related to spatial angles; a DOA estimation module is responsible for finally mapping the extracted high-dimensional complex value feature vector to a representation space directly related to the DOA estimation task; and an output module converts the internal feature representation output by the DOA estimation module into a DOA estimation result that can be interpreted by a user.

The application discloses a kind of based on mixed precision quantification coprime array direction-of-arrival estimation method.The implementation steps are: arranging mixed precision extended coprime array;Construct a classic signal receiving model;Solve the ideal mixed precision signal model constructed;Construct finite snapshot mixed precision array signal model;Signal whitening model is constructed;Optimization problem for reconstructing mixed precision quantification theoretical covariance matrix is constructed and is solved.The advantages of the method: compared with full high-precision array, the array relieves the quantization pressure of ADC, reduces sampling complexity.Compared with full low-precision array, the array has higher estimation accuracy.Coprime array can obtain higher estimation accuracy and stronger resolution than uniform array, and has higher degree of freedom.On the other hand, the method restores the elements of the hole in the coprime array by kernel norm minimization, and adds the whitening method to eliminate the error caused by finite snapshots, with higher estimation accuracy.

The invention discloses a two-dimensional DOA estimation method and system based on a V-shaped semi-symmetric co-prime array, and the method comprises the steps: forming a VSSCA array structure receiving signal through the optimization design of a VCA, and obtaining an axis of the VSSCA array structure and a receiving signal corresponding to the axis; secondly, covariance matrixes of the received signals are calculated respectively, and corresponding virtual arrays are obtained after vectorization processing, sorting and redundancy elimination operation are carried out; then continuous virtual arrays are extracted from the virtual arrays, and covariance matrixes corresponding to the continuous virtual arrays are calculated respectively; and finally, respectively carrying out eigenvalue decomposition to obtain corresponding noise subspaces, constructing a MUSIC spectral function based on the noise subspaces, obtaining a joint DOA estimated value through one-dimensional spectral peak search, and calculating a DOA estimated value of an information source. According to the structure provided by the invention, when two-dimensional parameter estimation is realized, more signal sources can be analyzed with a smaller number of physical array elements, and the estimation precision and stability are remarkably improved.