Sub-Nyquist Sampling Jamming Against ISAR With Compressive Sensing

摘要

Shannon-Nyquist theorem indicates that undersampling at low rates will lead to aliasing in the frequency domain of signal and can be utilized in electronic warfare. However, the question is whether it still works when the compressive sensing (CS) algorithm is applied into reconstruction of target. This paper concerns sub-Nyquist sampled jamming signals and its corresponding influence on inverse synthetic aperture radar (ISAR) imaging via CS. Results show that multiple deceptive false-target images with finer resolution will be induced after the sub-Nyquist sampled jamming signals dealed with CS-based reconstruction algorithm; hence, the sub-Nyquist sampling can be adopted in the generation of decoys against ISAR with CS. Experimental results of the scattering model of the Yak-42 plane and real data are used to verify the correctness of the analyses.