An Angle Estimation Method for Mimo Radar with Array Element Fault Based on Block Hankel Matrix Filling

Abstract

The invention discloses a method for estimating the angle of array element fault MIMO radar based on block Hankel matrix filling. This method first uses the column vectors of the virtual array covariance matrix to construct a matrix with a double Hankel structure, and uses the matrix formed by each column vector as a sub-matrix to form a block Hankel matrix with a quadruple Hankel structure, so that the constructed block Each row and column of the Hankel matrix has sampling elements, and satisfies the low-rank property, and the missing data in the block Hankel matrix is ​​filled by matrix filling; then, the corresponding redundant elements in the restored block Hankel matrix are averaged; finally, the The block Hankel matrix without missing data is inversely transformed to obtain a complete virtual array covariance matrix, and an algorithm based on the array covariance matrix (such as the ESPRIT algorithm) is used to estimate the DOD and DOA of the target. The invention can effectively recover a large number of missing data in the covariance matrix of the MIMO radar virtual array in which the array element fails, and improves the angle estimation performance when the transmitting or receiving array element fails.

Description

technical field [0001] The invention belongs to the field of radar angle estimation, and in particular relates to a method for estimating the angle of an array element fault MIMO radar based on block Hankel matrix filling. Background technique [0002] MIMO (Multiple-Input Multiple-Output) radar is a new type of radar developed in recent years. The radar uses multiple antennas at the transmitting end to transmit mutually orthogonal signals to detect targets, and performs detection on each receiving element at the receiving end. The matched filtering process forms a large number of virtual array elements to expand the array aperture, thereby increasing the degree of freedom of the radar to observe the target and improving the performance of target parameter estimation. Compared with traditional phased array radar, MIMO radar has significant advantages in target detection and parameter estimation, flexibility of detection waveform design, anti-interception and interference sup...

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Problems solved by technology

However, in the bistatic MIMO radar, the azimuth angles of each target relative to the transmitting array and the receiving array are different, and the manifold matrix of the virtual array is the Khatri-Rao product of the manifold matrix of the transmitting array and the receiving array, so the bistatic MIMO The covariance matrix of the radar virtual array is a block Toeplitz matrix rather than a Toeplitz matrix, so the differential processing technology is not suitable for the angle estimation problem of the bistatic MIMO radar with element failure

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