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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 ℓ1 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...
Shannon-Nyquist theorem indicates that under-sampling 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...
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