Adaptive digital beamforming algorithm of circle array based on compressed sensing

A new adaptive digital beamforming of circle array on the receiving radar station based on compressed sensing is proposed. According to the sparsity of targets in space, we design a digital beamforming by using the theory of compressed sensing. This algorithm greatly reduces the number of actual array elements with the same antenna aperture. In the case of sparse array, the echo information of the missing channels is restored firstly by using the theory of compressed sensing (CS), and then the restored signal is used to design the digital beamformer weights. Finally, the simulation results show the correctness of the proposed method.