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21 December 2023 Interrupted sampling and repeated transmitting jamming against JDL-STAP system
Jiyang Li, Xiaohu Duan, Haimei Du, Jia Li
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Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700E (2023) https://doi.org/10.1117/12.3012091
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
The dimensionality reduction space-time adaptive processing (STAP) can effectively suppress clutter and jamming in both spatial and temporal dimensions simultaneously. The discrepancy between training data and detection data can make the performance of STAP degrade, we propose interrupted sampling repeater jamming( ISRJ) to counter the joint-domain localized space-time adaptive processing (JDL-STAP). Firstly, the theory of JDL-STAP model is presented. By analyzing the feasibility of ISRJ model, we find that ISRJ can generate numerous false targets with different distributions between sampling data and detection data by changing the retransmitted parameters. And these false targets can destroy the independent identical distribution (IID) of system sample data seriously. Both simulated and measured results corroborate the effectiveness of the ISRJ methods against JDL-STAP.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jiyang Li, Xiaohu Duan, Haimei Du, and Jia Li "Interrupted sampling and repeated transmitting jamming against JDL-STAP system", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700E (21 December 2023); https://doi.org/10.1117/12.3012091
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KEYWORDS
Pulse signals
Covariance matrices
Target detection
Clutter
Radar
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