THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

62 / 2019-12-12 02:09:00

A novel adaptive beamforming approach for large-scale array based on compressed sensing

Adaptive beamforming; large-scale array; compressed sensing

In this paper, a novel reconstruction algorithm based on compressed sensing under the background of large-scale array adaptive beamforming is proposed. Compared with traditional adaptive beamforming technique based on the covariance matrix high-dimensional reconstruction algorithm, the proposed approach for large-scale adaptive beamforming could achieve more robust beamforming performance with the covariance matrix mismatch conditions. Since the reconstructed signal with non-positive covariance matrix is sparse, modified method using diagonal loading technique is also considered. Moreover, owing to special sparse character of compressed sensing, proposed beamforming method makes it possible to achieve higher degree of freedom (DOF) of beamformer with fewer sensors. Several results of numerical experiment demonstrate the effectiveness of the proposed approach.