Arrival angle estimation method based on sparse Bayesian theory in existence of cross coupling

Abstract

The present invention discloses an arrival angle estimation method based on the sparse Bayesian theory in existence of cross coupling. The method comprises the steps of: constructing a sparse signal model in the existence of antenna array cross coupling and arrival angle grid deviation; initializing unknown parameters in the sparse signal model; according to the current unknown parameter values, solving a joint probability distribution function based on the Bayesian theory, and estimating a receiving signal mean value and a covariance matrix; through adoption of the maximization likelihood function, estimating the variance of noise and variance of the receiving signals; calculating and obtaining a spatial spectrum of the receiving signals; through adoption of the maximization likelihood function, estimating the arrival angle grid deviation, and updating a dictionary matrix in the existence of the grid deviation; estimating the variance of the array antenna cross coupling vector and thecross coupling vector of the array antenna; and performing iteration calculation until reaching the set number of times of iteration, finishing the iteration, and outputting the spatial spectrum of the receiving signals and the solved receiving signal arrival angle. The arrival angle estimation method based on the sparse Bayesian theory in existence of cross coupling improves the arrival angle estimation performance and achieves the high-precision estimation of the signal arrival angle.

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 ...

AI Technical Summary

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

Images