23 results about "Coprime array" patented technology

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.

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 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.

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.

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 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.

This invention discloses a meshless DOA estimation method for coherent signals based on coprime matrices. The method first averages the diagonal elements of the covariance matrix of the received data from the array, then reconstructs the Toeplitz matrix based on this average, and finally reconstructs the low-rank matrix using its Toeplitz structure. Next, the trace norm of the positive semi-definite matrix is ​​used to relax the non-convex low-rank matrix reconstruction problem, and the rank recovery matrix is ​​obtained using the convex optimization CVX toolbox. Finally, the DOA is estimated using the ESPRIT algorithm. Compared with traditional methods, this method does not require mesh generation, has stronger decoherence capabilities, and can accurately estimate the azimuth of coherent signals even under conditions of low signal-to-noise ratio, few snapshots, and small signal incident angle intervals. It has significant application value in underwater moorings or mobile observation platforms for ocean observation.

This invention provides an improved coprime array structure, an improved DOA estimation method for coprime arrays, a computer, and a storage medium, relating to the field of array signal processing. It solves the problems of insufficient continuous virtual array portions, low continuous degrees of freedom, and insufficient array aperture in existing array structures. The invention provides the following scheme: an improved coprime array structure comprising three subarrays, namely subarray 1, subarray 2, and subarray 3. The elements in subarray 1 and subarray 2 are arranged alternately. The first element of subarray 3 is Nd away from the last element of subarray 2. Subarray 3 is considered to be formed by shifting subarray 1 to the right by (MN+N-M)d units. Subarray 3 is superimposed with subarrays 1 and 2 to obtain the improved coprime array structure. An improved DOA estimation method for coprime arrays is also provided, implemented using the aforementioned improved coprime array structure, and is suitable for array signal processing experiments.

This invention discloses a low-redundancy coprime array structure design method based on subarray shifting and filling strategies, belonging to the field of array signal processing technology. The method includes: selecting coprime integers M and N to construct an extended coprime array; removing redundant array elements from the first subarray while maintaining the continuous degrees of freedom of the differential virtual array; removing the array element at the origin position from the second subarray and shifting another array element to fill part of the virtual holes; further filling the remaining holes by adding two physical array elements to obtain the final low-redundancy shifted coprime array; and finally using the spatial smoothing MUSIC algorithm for direction-of-arrival estimation. This invention, without changing the number of physical array elements, effectively expands the continuous degrees of freedom and array aperture of the differential virtual array through subarray reconstruction and shifting filling, reduces the mutual coupling effect between array elements, and significantly improves the accuracy and robustness of direction-of-arrival estimation, especially suitable for multi-source underdetermined direction-finding scenarios in complex environments.

The embodiment of the invention discloses a DOA estimation method for eliminating a non-circular phase, and relates to the technical field of signal processing, and the method comprises the steps: receiving an incoherent non-circular signal through an augmented unwrapped co-prime array, and obtaining a received signal matrix; performing pulse noise removal processing on the received signal matrix through a nonlinear function suppression principle based on GLHSF to obtain an output matrix; removing a non-circular phase of a non-circular signal in the output matrix by using a CCRE method to obtain a target matrix; constructing a sum-difference array matrix by using signal characteristics to obtain a to-be-solved matrix; and constructing an auto-covariance matrix based on the to-be-solved matrix, and solving the auto-covariance matrix through a MUSIC algorithm to complete DOA estimation for the incoherent non-circular signal. A generalized logarithmic hyperbolic secant function (GLHSF) is combined with a DOA covariance matrix, impulse noise in a signal can be flexibly suppressed, the influence of a non-circular phase in a non-circular signal is eliminated through a reference array element signal correlation (CCRE) method, the DOA estimation accuracy is improved, a sum difference array is introduced, and the freedom of the array is improved.

The application discloses a complementary coprime array design method based on virtual and difference array concept. The method firstly removes part of sensors in a traditional coprime array to reduce redundancy. Then, a complementary sub-array is constructed by using the removed sensors, so that the virtual and difference array has a wide range of continuous segments, thereby improving the degree of freedom, and strictly limiting the number of sensors with small intervals, reducing the mutual coupling effect. The implementation steps are as follows: calculating the basic unit of array element spacing, determining the array element number and array element interval parameters, and determining the physical position of the array element according to the analytical expression. The application can effectively increase the degree of freedom of the virtual and difference array under the condition of the same array element number, reduce the mutual coupling effect, improve the estimation accuracy of the direction of arrival, improve the spatial target detection capability, and reduce the array operation cost.

The application discloses a kind of under impulse noise amplitude-phase error self-correction and direction finding method of coprime array, belong to array signal processing field.The application can realize amplitude-phase error correction and direction of arrival estimation without setting additional correction source, improve the real-time of practical application.The traditional WF self-correction method has higher requirement to initial direction finding accuracy, otherwise it is easy to fall into local optimal value, the method first adopts infinite norm weighting to combine fractional low-order correlation matrix to improve stability under impulse noise, and elite learning quantum sparrow search mechanism is used to search phase error, accurate phase error value can be searched in the case where initial direction finding accuracy is low, and phase error and amplitude error are independently searched and estimated, which can further improve the stability of self-correction method.