Sub-Nyquist Sampling Jamming Against Chirp-ISAR With CS-D Range Compression

Compressed sensing (CS) for sparse backscattering field recovery from very limited measurements has received increasing attention among the radar imaging community. The chirp (i.e., linear frequency modulated) waveform, benefiting from a large time-bandwidth product, is widely utilized in imaging ra...

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Bibliographic Details
Published in:IEEE sensors journal 2018-02, Vol.18 (3), p.1140-1149
Main Authors: Pan, Xiaoyi, Liu, Jiaqi, Chen, Jiyuan, Xie, Qianpeng, Ai, Xia
Format: Article
Language:English
Subjects:
Backscattering
Chirp
Chirp waveform
compressed-sensing-based dechirping (CS-D)
Computer simulation
Data compression
Defense industry
Fourier transforms
Image reconstruction
Imaging
inverse synthetic aperture radars (ISAR)
Jamming
Moving targets
Radar
Radar imaging
range compression
Sampling
Scattering
sub-Nyquist sampling jamming
Target recognition
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Summary:Compressed sensing (CS) for sparse backscattering field recovery from very limited measurements has received increasing attention among the radar imaging community. The chirp (i.e., linear frequency modulated) waveform, benefiting from a large time-bandwidth product, is widely utilized in imaging radars, such as synthetic aperture radars (SARs) and inverse SARs (ISARs). In this paper, the influence of sub-Nyquist sampling jamming on ISAR with chirp waveform is investigated, where the CS-based dechirping (CS-D) algorithm is applied to achieve range compression of the under-sampled jamming signals. The jamming signals, formed by the intercepted radar signals under the sub-Nyquist sampling theorem and scattered by the moving targets, are collected by ISAR to form a (2-D) array and the azimuth compression is done via conventional Fourier transform. The main novelty of this framework is twofold: 1) the CS-D range compression of the under-sampled jamming signals is characterized and 2) the potential of sub-Nyquist sampling jamming is demonstrated against ISAR with the CS-D range compression. Simulated trials and real data of a Yak-42 plane are used to validate the correctness of the analyses and finally, the well-focused false-target images greatly support the effectiveness of the sub-Nyquist sampling jamming idea in the countermeasures of chirp-ISAR with the CS-D range compression.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2017.2778259