A compressed sensing based method for SAR GMTI

Abstract

This paper proposes a synthetic aperture radar (SAR) imaging method based on compressed sensing for ground moving target identification (GMTI). Since the targets are sparse or compressible in the area of interest, it is sufficient to reconstruct the image by only sampling a small number of receiving data randomly. Then, the moving targets can be obtained after the processing of displaced phase center antenna (DPCA) with different channels, which means that the limitations of strict balance between channels for GMTI can be relaxed. The minimum detectable velocity of moving objects can be reduced to a very small degree while the resolutions in both range and cross-range directions are maintained. Simulation results are presented in the paper to demonstrate the validity of the proposed method.