High resolution radar imaging based on compressed sensing and adaptive Lp norm algorithm

Radar imaging based compressive sensing (CS) is a potential way to obtain the high-resolution radar images without the constraint of Nyquist sampling rate. In this paper, we proposed a radar remote-sensing imaging approach based on compressive sensing and adaptive Lp norm algorithm. Some experiments are taken and the results indicate that an accurate reconstruction of high-resolution radar images are obtained, with fewer measurements than its counterparts, but resulting in lower normalized MSE(NMSE).