Research on Sensing Matrix Characteristics in Microwave Staring Correlated Imaging Based on Compressed Sensing

According to target sparsity in observation scene, a novel scheme of microwave staring correlated imaging based on compressed sensing (MSCI-CS) is proposed with its established imaging model. As its imaging base and key element, the formation and specific meaning and characteristics of sensing matrix of temporal-spatial stochastic radiation fields (SM-TSSRF) are analyzed, while a new average cross-correlation function of SM-TSSRF is defined to represent its whole correlation characteristics, as well as the standard judgment condition of target reconstruction. The influence and restraint of radar parameters on SM-TSSRF are discussed emphatically, including emitted signal bandwidth, radar array scale, radar system configuration and its aperture etc. Finally, numerical simulations verify the correctness of theoretical analysis of SM-TSSRF and its potentiality of sparse sampling and high-resolution imaging.