Radar Band Fusion Using Frame-Based Compressed Sensing

Existing compressed sensing algorithms fail when applied to radar target detection in the presence of a large gap frequency band, i.e., signals separate, discontinuous bands. A new algorithm based on subdivision-fusion scheme is proposed solve this problem. The main goal use structured matrix an advantage and obtain good range resolution spite high coherence. Parameters influencing performance are discussed. Simulative examples results real measurement data presented. show superior method band gaps.