LAUSR

In this letter, a novel microwave coincidence imaging (MCI) approach is proposed based on a multiple-input single-output (MISO) radar system to deal with the low signal-to-noise ratio (SNR) scenarios and off-grid problem. First, in coherent-detecting part, a linear frequency modulated (LFM) signal is transmitted, and dechirping processes are conducted to enhance the SNR of echoes. Then, in incoherent-modulating part, the post random phase-shifting modulations are conducted on the echoes, hence the temporal–spatial orthogonal reference radiation field of MCI is constructed, which provides the potential information of super-resolution. Further, to solve the off-grid problem of target’s scatterers in MCI, a new projecting-residual-based selection criterion is also proposed, combined with the preexisting signal subspace matching (SSM) method. The proposed method could largely eliminate the off-grid errors while conduct a reference matrix selection procedure, hence the reconstruction accuracy and computational complexity can be much improved and reduced, respectively. Finally, the validity of the proposed method and the super-resolution ability of MCI are verified by experiments.