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| Content Provider | Directory of Open Access Journals (DOAJ) |
|---|---|
| Author | Jiyuan Chen Xiaoyi Pan Letao Xu Wei Wang |
| Abstract | Sub-Nyquist sampling is a common means of interfering with inverse synthetic aperture radar (ISAR) imaging, which has been validated for the feasibility of 1-D compressive sensing (CS) ISAR imaging. In order to overcome the high computational complexity of 1-D CS-based ISAR imaging, the coupled 2-D CS algorithms are utilized to achieve ISAR imaging directly which has been proposed recently. In this paper, sub-Nyquist sampling jamming signals are utilized to induce multiple false-target ISAR images by using the coupled 2-D-CS algorithm. The jamming signals, which are formed by the intercepted radar signals under the sub-Nyquist sampling theorem and scattered by moving targets, are collected by ISAR to establish a 2-D super resolution model, and the finally reconstructed ISAR images are induced and show that the deceptive false-target images retaining the real target information. Simulated trails and real data of a Yak-42 plane are used to validate the correctness of the analyses and the finally well-focused false-target images greatly support the effectiveness of the sub-Nyquist sampling idea in the countermeasures of ISAR with coupled 2-D CS. |
| e-ISSN | 21693536 |
| DOI | 10.1109/ACCESS.2018.2872056 |
| Journal | IEEE Access |
| Volume Number | 6 |
| Language | English |
| Publisher | IEEE |
| Publisher Date | 2018-01-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Electrical Engineering. Electronics. Nuclear Engineering Sub-nyquist Sampling Inverse Synthetic Aperture Radar (isar) Two-dimensional Coupled Compressive Sensing (2d-cs) |
| Content Type | Text |
| Resource Type | Article |
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