Metasurface stealth target detection based on time-frequency correlation matching

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.