Multi-circular synthetic aperture radar imaging processing procedure based on compressive sensing

Multi-circular synthetic aperture radar (MCSAR) has the full 360° 3-D imaging ability by using multiple circular tracks at different elevation angles. Compressive sensing (CS) based imaging methods provide a solution for MCSAR elevation reconstruction when the circular tracks distribute sparsely and non-uniformly. When processing the MCSAR real data, the issues of off-grid effect and the spurious estimate should be taken into consideration. In this paper, we present the CS-based imaging processing procedure for MCSAR real data and show the first 3-D imaging results of the MCSAR data collected by the Institute of Electronics, Chinese Academy of Sciences.