Robust adaptive beam formation method

Abstract

A robust adaptive beam formation method disclosed by the present invention comprises a step 1 of utilizing a Capon space power spectrum to estimate the average noise power in an angle area only containing the stationary noise, and obtaining a corresponding noise covariance matrix; a step 2 of adopting the Capon space power spectrum to collect all interference information located in an interferencesignal angle area, rejecting a noise component, and reconstructing an interference covariance matrix; then reconstructing an interference and noise covariance matrix according to the noise covariancematrix and the interference covariance matrix; a step 3 of correcting a steering vector of a desired signal of a beam former according to the reconstructed interference and noise covariance matrix, calculating an optimal weight vector, and forming a robust adaptive beam. The method can obtain the more accurate interference and noise covariance matrix and the steering vector of the desired signal,so that the robustness of the adaptive beam formation method on various array error conditions is improved further.

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, the precise reconstruction of the interference plus noise covariance matrix can greatly improve the performance of adaptive beamforming robustness. 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 algorithm itself, the performance of these beamforming methods will be significantly attenuated in the presence of array errors, and cannot achieve ideal results. [0003] A more recent and more robust approach to array errors is the adaptive beamforming method based on the reconstruction of the i...

AI Technical Summary

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

Images