Novel method of moving target detection for dual-channel was radar based on compressed sensing

We propose a ground moving target detection method for dual-channel Wide Area Surveillance (WAS) radar based on Compressed Sensing (CS). Firstly, the method of moving target detection of the WAS radar is studied. In order to reduce the sample data quantity of the radar, the echo data is randomly sampled in the azimuth direction, then, the matched filter is used to perform the range direction focus. We can use the compressive sensing theory to recover the signal in the Doppler domain. At last, the phase difference between the two channels is compensated to suppress the clutter. The result of the simulated data verifies the effectiveness of the proposed method.