A Robust Adaptive Beamforming Method for Asymmetric Signals in Symmetric Noise

Abstract

The invention discloses a robust adaptive beam forming method for asymmetric signals in symmetric noise. The method first constructs a full-space neighborhood error vector table; secondly, the third-order cumulant matrix of the array received signals is loaded diagonally, Based on the Capon third-order space spectrum loaded diagonally, the expected signal and the initial value of each interfering direction of arrival are estimated, and the set of angle regions containing only noise is determined; thirdly, the more accurate expected signal and Steering vector of interference, and generate a virtual interference covariance matrix; the fourth pair of arrays receives signals, calculates the local Capon space cross-power spectrum, and estimates the noise covariance matrix; Finally, use the obtained desired signal steering vector and virtual interference covariance matrix and noise covariance matrix to obtain the best weight vector, form a robust adaptive beam output for the array received signal, and improve the robustness of the adaptive beamer.

Description

technical field [0001] The invention relates to the research field of beam forming in the field of array signal processing, in particular to a robust adaptive beam forming method for asymmetric signals in symmetrical noise. Background technique [0002] Among the existing robust adaptive beamforming methods, the more representative methods are: linear constrained minimum variance method, diagonal loading method, feature subspace method and uncertain set method. However, considering the uncertainty of parameter selection and the constraints of the inherent properties of the algorithm itself, the performance of these beamforming methods will be significantly attenuated in the presence of array errors, and cannot achieve ideal results. [0003] In recent years, adaptive beamforming methods based on interference-plus-noise covariance matrix reconstruction have been studied, which are more robust. This method mainly uses the Capon space power spectrum, and uses its integral in t...

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Problems solved by technology

However, this reconstruction method only directly uses the Capon space power spectrum to integrate the angle variable in the undesired signal angle region, and the final reconstructed interference-plus-noise covariance matrix is ​​not accurate enough, so that this method only has a certain effect on the direction of arrival error. robustness, the performance of the algorithm is not guaranteed in the presence of other types of steering vector errors

Subsequently, a method for reconstructing the interference-plus-noise covariance matrix for any type of array error was proposed. This method mainly changed the original linear integration region and transformed it into a space circular uncertainty set. The calculation is more complicated, and there are certain errors in the reconstruction process, and a more accurate interference plus noise covariance matrix cannot be obtained

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