Algorithm for reconstructing robust Capon beamforming based on covariance matrix

Abstract

The invention belongs to the field of signal processing. The invention provides an improved Capon beamforming algorithm for the problem that the performance of a conventional Capon beamforming algorithm is significantly degraded, wherein the problem is caused by estimation errors of an array steering vector or inaccurate estimation of a data covariance matrix. On the basis that a reception data covariance matrix is reconstructed based on linear contraction estimation, a mismatch steering vector is projected to an updated subspace by updating the signal and interfering subspace, so as to acquire the optimal reception right. The algorithm maintains a high gain in the true wave incoming direction and assumed wave incoming direction of a desired signal, which avoids signal cancellation. Compared with other algorithms, the algorithm can more accurately point to the true direction of the desired signal. The algorithm is robust for steering vector mismatch caused by the observation error of the signal arrival direction.

Description

technical field [0001] The invention belongs to the field of signal processing, and relates to the robustness research of the beam forming algorithm in the array signal processing. Background technique [0002] As an important research direction of array signal processing, beamforming technology is widely used in wireless communication, radar, sonar, seismic exploration and radio astronomy and other fields. Its essence is to achieve the purpose of enhancing the desired signal and suppressing interference by weighting each array element in the array antenna for spatial filtering, and can adaptively change the weighting factor of each array element according to the change of the signal environment. The conventional Capon beamforming algorithm can obtain the optimal output SINR when the covariance matrix and the steering vector are known precisely. However, in practical applications, due to the existence of error factors such as angle of arrival estimation, array calibration, ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art. For the problem that the performance of the conventional Capon beamforming algorithm is significantly reduced due to the estimation error of the array steering vector or the inaccurate estimation of the data covariance matrix, the present invention proposes a method based on the covariance matrix A Reconstructed Robust Capon Beamforming Algorithm

Images