| Citation: | Chen SONG, Liangjiang ZHOU, Yirong WU, Chibiao DING. An Estimation Method of Micro-movement Parameters of UAV Based on The Concentration of Time-Frequency[J]. Journal of Electronics & Information Technology, 2020, 42(8): 2029-2036. doi: 10.11999/JEIT190309
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The micro-Doppler modulation generated by the rotor rotation of UAV can reflect the micro-movement characteristics of such targets. Accurately estimating the rotor length and rotation frequency of the UAV is of great significance for UAV detection and recognition. In this paper, a method for estimating micro-movement parameters of multi-rotor UAV based on Concentration of Time-Frequency (CTF) is proposed for FMCW radar system. The mapping relationship between dynamic parameters of UAV rotor and signal parameters of micro-Doppler component is deduced. Based on time-frequency concentration index in time-frequency rotation domain, the discrimination of micro-motion components is improved. Compared with the traditional methods, the proposed method can improve the accuracy of multi-component micro-Doppler parameter. Furthermore, it has good robustness in low SNR. The validity of the method is verified by simulation and field test.
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