Robust adaptive beam forming method based on subspace orthogonality

Abstract

The invention relates to a robust adaptive beam forming method based on subspace orthogonality. The method comprises the following steps of firstly, estimating directions of arrival of signals and interferences, and generating initial values of steering vectors; secondly, correcting the expected signal steering vector, and estimating a more accurate expected signal steering vector; thirdly, correcting the interference steering vector, and estimating a more accurate interference steering vector; fourthly, estimating the noise power by using the average value of the characteristic values corresponding to the noise subspace; fifthly, estimating each interference power together with the signal subspace and the eigenvalue matrix of the signal subspace; sixthly, reconstructing an interference and noise covariance matrix; and seventhly, calculating an optimal weight vector, and forming robust adaptive beam output for array receiving data. According to the method, the more accurate interference and noise covariance matrix and the steering vector of the desired signal can be obtained, the optimal weight vector is more accurate, and the robustness of the adaptive beam device is improved.

Description

technical field [0001] The invention relates to the field of beamforming research in the field of array signal processing, especially in the non-ideal situation where various errors may exist, through more accurate reconstruction of the desired signal steering vector and the interference plus noise covariance matrix, better Improved robustness of adaptive beamforming. Background technique [0002] Among the existing robust adaptive beamforming methods, the more representative methods are: linear constrained minimum variance method, diagonal loading method, eigensubspace method and uncertain set method. However, considering the uncertainty of parameter selection and the constraints of the inherent nature of the method itself, the performance of these beamforming methods will have obvious attenuation in the presence of array errors, and cannot achieve ideal results. [0003] In recent years, adaptive beamforming methods based on the reconstruction of the interference-plus-noi...

AI Technical Summary

Problems solved by technology

[0005] The technical problem of the present invention is to overcome the deficiencies of the prior art, make full use of the orthogonality of the signal subspace and the noise subspace and the information contained in the corresponding eigenvalue matrix, and provide a robust Adaptive beamforming method, through more accurate reconstruction of the desired signal steering vector, interference plus noise covariance matrix, greatly improves the robustness of the beamformer to any type of array error

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