DOA estimation based on compressive sampling array with novel beamforming

Based on the sparse property of the targets distributed in spatial domain, a novel Compressive Sensing Beamforming (CSB) algorithm based on compressive sampling array (CSA) is proposed for DOA estimation. A new compression matrix is designed for CSA to be able to compress a large size array into small size array that brings the advantage of reducing both hardware and software complexity, and the CSB can be viewed as a combination of merit of conventional Capon and MUSIC method which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot. Simulation results demonstrate that the proposed algorithm possess high resolution, robust to additive noise, reduction computational burden and so on.