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28 March 2024 Metasurface stealth target detection based on time-frequency correlation matching
Mengcheng Wan, Jingshu Li, Yechao Bai
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Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130911M (2024) https://doi.org/10.1117/12.3023288
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China
Abstract
With the development of artificial electromagnetic metamaterials, the new target stealth technology represented by metasurface stealth can achieve fast modulation within the pulse, which poses a huge challenge to the traditional radar detection method based on pulse integration. In this paper, the echo model of the metasurface stealth target is constructed, and the short-term coherence of the echo is mined through windowed time-frequency analysis. The time-frequency spectrogram of the target echo is correlated with the time-frequency spectrogram of the transmitted signal to obtain one-dimensional correlation matching coefficients. Target detection is achieved based on coefficient peaks. This paper proves through simulation that the time-frequency correlation matching method can obtain good detection performance under different pulse modulation speeds.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Mengcheng Wan, Jingshu Li, and Yechao Bai "Metasurface stealth target detection based on time-frequency correlation matching", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130911M (28 March 2024); https://doi.org/10.1117/12.3023288
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KEYWORDS
Time-frequency analysis
Target detection
Modulation
Pulse signals
Monte Carlo methods
Radar
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