Super-resolution DOA Estimation in Passive Radar Based on Compressed Sensing

The information of targets Direction Of Arriving (DOA) is very important for target location. But in passive radar, the weak target echoes are usually embedded in the background of strong direct signal, multipath and noise. So it is very difficult to estimate the DOA of target in passive radar, especially when there are multiple targets. In this paper, a method based on compressed sensing is proposed to perform high resolution DOA estimation in passive radar. In order to remove the strong direct signal and multipath and improve the SNR of targets, first the temporal interference cancellation and range-Doppler 2D correlation are utilized. Finally, the signal of targets delay-Doppler bin is reconstructed according to DOA using reconstruction algorithm of compressed sensing. Simulation results show that the proposed method can perform the super-resolution DOA estimation in passive radar.