期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 60, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2022.3226600
关键词
Blind source separation (BSS); electromagnetic jamming; maximum signal-to-noise ratio (SNR); synthetic aperture radar (SAR)
类别
资金
- National Natural Science Foundation of China (NSFC) [62271261, 61971226]
- Natural Science Foundation of Jiangsu Province for Excellent Young Scholars [BK20200075, BK20220941]
- Fundamental Research Funds for the Central Universities [30922010717]
A novel multi-electromagnetic jamming countermeasure for airborne SAR based on maximum SNR blind source separation is proposed in this article. By identifying the real target echo signal and using corresponding imaging methods, high-resolution images of the interested target area are achieved.
Synthetic aperture radar (SAR) may be attacked by multifarious kinds of active jamming, which will lead to the ineffectiveness of SAR in the complex electromagnetic environment. In this article, a novel multi-electromagnetic jamming countermeasure for the airborne SAR is proposed based on maximum signal-to-noise ratio (SNR) blind source separation (BSS). First, the imaging geometry and multicomponent mixed-signal model of airborne SAR are established. Then, based on multicomponent mixed-signal matrix, a BSS method based on the maximum SNR is proposed to separate the real target echo signal from the multi-electromagnetic jamming signals. After real target echo signal identification, the high-resolution images of the interested target area can be achieved by the corresponding SAR imaging method. The simulated and measured data results are presented to prove the feasibility and effectiveness of the proposed method.
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