Sub-Nyquist Sampling Jamming Against ISAR With CS-Based HRRP Reconstruction

Abstract

As recently demonstrated, compressive sensing (CS) is potential in exact recovery of an unknown sparse signal from very limited samples. In this paper, sub-Nyquist sampling jamming against inverse synthetic aperture radar (ISAR) imaging is presented, where the CS-based algorithm is applied to the high-resolution range profile (HRRP) reconstruction other than the Doppler profile reconstruction. The reconstruction of moving targets' HRRP through CS-based matched filtering algorithms shows 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. The finally reconstructed ISAR images show that the deceptive false-target images retaining the real target information will be induced. Hence, the rational utilization of sub-Nyquist sampling jamming can generate vivid decoys in ISAR countermeasures. Experimental results of the scattering model of the Yak-42 plane are used to verify the correctness of the jamming idea.