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