A MIMO-SAR robust beamforming echo separation method based on LASSO regression

Abstract

The application discloses a MIMO-SAR robust beam forming echo separation method based on LASSO regression, which comprises the following steps: S1, a MIMO-SAR transmitting waveform is designed, and a pitch multi-channel system is used to collect echo signals; S2, a pitch dimension space snapshot is constructed, and a sample covariance matrix is estimated; S3, a space domain search is performed based on a LASSO regression model, and the angle of arrival of each signal component is roughly estimated; S4, the width of a beam main lobe and a null is set, and a constraint matrix is designed according to the estimated angle of arrival information of the expected and interference signals; S5, a LASSO regression model is constructed based on the constraint matrix, and an optimal weight vector is solved; and S6, the space snapshot in the step S2 is processed by using the optimal weight vector, the interference signals in the echo are suppressed, and the final echo separation is realized. The method can still apply a non-distortion response to the expected signal direction under the condition of terrain undulation, can sufficiently suppress the interference components, and has high robustness and wide application prospect.

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