A Method of Arrival Angle Estimation Based on Sparse Bayesian Theory in the Existence of Mutual Coupling

Abstract

The invention discloses a method for estimating the angle of arrival based on sparse Bayesian theory in the presence of mutual coupling, comprising: constructing a sparse signal model when there is mutual coupling of antenna arrays and a grid deviation of the arrival angle; initializing unknown parameters in the sparse signal model ;According to the current unknown parameter value, the joint probability distribution function is solved based on Bayesian theory, and the mean value and covariance matrix of the received signal are estimated; By maximizing the likelihood function, the variance of the noise and the variance of the received signal are estimated; the calculated The spatial spectrum of the received signal; by maximizing the likelihood function, estimating the grid deviation of the arrival angle, and updating the dictionary matrix when there is a grid deviation; estimating the variance of the mutual coupling vector of the array antenna and the mutual coupling vector of the array antenna; iteration The calculation stops until the set number of iterations is reached, and the spatial spectrum of the received signal and the solved angle of arrival of the received signal are output. The invention improves the performance of estimating the angle of arrival and realizes the high-precision estimation of the angle of arrival of the signal.

Description

technical field [0001] The invention relates to an arrival angle estimation method based on sparse Bayesian theory when mutual coupling exists, and belongs to the technical field of array signal processing. Background technique [0002] Signal angle-of-arrival estimation technology plays a key role in the fields of radar, communication, and electronic countermeasures. By estimating the direction of electromagnetic waves, it can improve the radar system's estimation and detection performance of targets, and improve the channel capacity of wireless communication systems. The traditional signal angle of arrival estimation technology is mainly based on the discrete Fourier transform method, which has a fast estimation speed, but low precision, and cannot distinguish multiple signals in the same beam. Therefore, a subspace estimation technique based on MUSIC or ESPRIT is proposed, and the covariance matrix of the signal is constructed by taking multiple snapshots of the received ...

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Problems solved by technology

[0008] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a method for estimating the angle of arrival based on sparse Bayesian theory in the presence of mutual coupling, and solve the mutual coupling and discreteness between antenna arrays in the existing angle of arrival estimation. The problem of grid deviation, through the sparse Bayesian theory, under the condition of sparse spatial domain of the arrival signal, to improve the performance of the angle of arrival estimation of the signal

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