Interfering noise covariance matrix reconstruction method aiming at incoming wave direction error

Abstract

The invention belongs to the array signal processing field, and mainly relates to robustness of a standard Capon adaptive beamforming algorithm, based on covariance matrix reconstruction, against interfering signal incoming wave direction error; the interfering noise covariance matrix reconstruction method aiming at incoming wave direction error comprises the following steps: firstly using array reception data to estimate guide vectors (see formula, wherein d=1, 2..D ) of all D signals, to estimate D-1 interfering signal power (see formula, wherein d=2,3.. D), and to simultaneously estimate a noise power (see formula); then reconstructing the interfering noise covariance matrix (see formula) according to the definition of the interfering noise covariance matrix (see formula); combining the estimated guide vectors with the reconstructed interfering noise covariance matrix so as to obtain a novel beamforming weighting vector (see formula). The method can improve estimation precision of the interfering noise covariance matrix, can effectively reduce desired signal elements, can greatly weaken or prevent desired signal self-elimination phenomenon, thus greatly improving output SINR.

Description

technical field [0001] The invention belongs to the field of array signal processing, and mainly relates to the robustness of a standard Capon adaptive beamforming algorithm based on covariance matrix reconstruction to incoming wave direction errors of interference signals. Background technique [0002] The Capon adaptive beamforming algorithm can minimize the output power of the array and maximize the signal-to-interference-plus-Noise Ratio (SINR) of the beam output and the maximum Maximize the array gain, have better azimuth resolution and strong interference suppression ability. However, Capon beamforming is based on the assumption that both the desired signal steering vector and the interference noise covariance matrix are known accurately, and it is sensitive to the errors of the desired signal steering vector and the interference noise covariance matrix. In practical applications, the interference noise covariance matrix is ​​generally difficult to obtain, and the sam...

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Problems solved by technology

[0004] The object of the present invention is to provide a kind of interference noise covariance matrix reconstruction method (ARobustalgorithmagainstlargelookdirectionerrorforInterference-plus-NoiseCovarianceMatrixreconstructionalgorithm, RIPNCMreconstruction) aimed at incoming wave direction error, replace sample covariance matrix with the interference noise covariance matrix of reconstruction; Propose simultaneously A new steering vector estimation algorithm is used to estimate the steering vector of the desired signal, and a new beamforming algorithm is designed jointly with the reconstructed IPNCM and the estimated steering vector of the desired signal, so as to overcome the shortcomings of the existing beamforming algorithm and make the beamforming algorithm more sensitive to the interference signal The direction of arrival error is very robust

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