Sub-Nyquist Sampling Jamming against Wideband LFM Radar with CS-based Matched Filtering

Compressed sensing (CS) is potential in exact reconstruction of an unknown sparse signal from very limited measurements with very high probability by solving a convex l(1) optimization problem. In this paper, sub-Nyquist sampling jamming against wideband linear frequency modulated (LFM) radar is addressed, where the CS-based algorithm is applied to achieve the range compression via matched filtering (MF). The results show that the sub-Nyquist sampled jamming signals, formed by the under-sampled radar signals in scatter-wave jamming configuration, provide a capability of deception jamming. Hence, sub-Nyquist sampling jamming can generate active decoys in radar countermeasures. Simulated trials are used to verify the correctness of the jamming idea.