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A Modified Adaptive Sidelobe Reduction Method for Through-the-Wall Radar Imaging

Sidelobe reduction is important to improve the quality of through-the-wall radar imagery, and adaptive sidelobe reduction (ASR) is the widely used method for that. However, similar to coherent factor (CF)-based methods, the major defect of ASR is to suppress the weak targets in the imaging scene. Moreover, in near-field radar applications, including through-the-wall imaging, ASR cannot achieve the global optimum. In most letters about ASR, the three crucial parameters, the filter order, the interpolation factor, and the constraint threshold, are selected empirically. This letter analyzes their relationships and value ranges and then proposes a modified ASR (M-ASR) method, which has a more reasonable strategy of parameter assignment. Both simulative and experimental results validate the feasibility of M-ASR in the nearfield application and its improvement in weak target detection.