Robust wave beam forming method based on covariance matrix reconstruction and guide vector estimation

Abstract

The invention discloses a robust wave beam forming method based on covariance matrix reconstruction and guide vector estimation. The method comprises the steps: firstly carrying out the eigenvalue decomposition of a covariance matrix of received data of an antenna, obtaining a noise subspace, estimating an arrival angle of an interference signal through a multi-signal classification method, calculating a guide vector, carrying out the correction through a robust Capon wave beam forming algorithm, solving the power of the interference signal according to the orthogonality of the guide vector, and constructing an interference and noise covariance matrix; constructing a constraint condition of an expected signal guide vector through finding the space orthogonal to the expected signal guide vector, and solving a precise expected signal guide vector according to the maximum output power. The method is robust for a guide vector error and an interference and noise covariance matrix error, which are caused by an array position error, a non-interconnection local scattering and total amplitude and phase errors. Compared with the prior art, the method is higher in output signal to interference and noise ratio, and is higher in output performances.

Description

technical field [0001] The invention belongs to the field of array signal processing, and mainly relates to a robust beamforming method for reconstructing an interference-plus-noise covariance matrix and estimating a steering vector in an amplitude-phase error scenario. Background technique [0002] Adaptive beamforming technology can make the target signal direction in the array output be received and enhanced as effectively as possible, while interference and noise in other directions can be effectively suppressed, thereby improving the SINR of the array. In recent years, it has been widely used in many fields such as radar, radio astronomy, sonar, medical imaging, microphone voice array processing, seismic survey, cognitive radio and wireless communication. When there is a certain deviation between the actual working environment and the ideal assumption model, such as array calibration errors, non-correlated local scattering, and overall amplitude and phase errors, the ad...

AI Technical Summary

Problems solved by technology

It is designed to solve the problem of beamformer performance attenuation caused by the error of the steering vector and interference plus noise covariance matrix caused by the existing array position error, non-local cross-correlation scattering and amplitude phase error

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