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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...
Radar micro-Doppler (m-D) signatures for target recognition have received increasing attention among the radar community. Since warheads, decoys and debris have unique m-D signatures, m-D parameter estimation has great potential in ballistic missile defense (BMD) applications. In the case of ballistic targets (BTs) with rapid precession, the conventionally sinusoidal modulation of m-D effect is disturbed...
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...
The scatter-wave jamming (SWJ) can form false-target images and the repeater jamming based on sub-Nyquist sampling can produce fake point scatterers in the down-range. In this paper, it will be revealed that sub-Nyquist sampling intrinsically paves a method to generate multiple false-target images combined with SWJ. Radar pulses are under-sampled and retransmitted to the moving target which needs...
The paper presents a novel repeat jamming method capable of generating false targets in range from intercepted radar chirp signals. The proposed approach divides a received radar signal into several equal parts and then transmitted them back to the radar in a different order. The essence of the spectrum-divided jamming is that the spectrum of a radar chirp signal is separated into several equal pulses...
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