With the wide application of small UAV, its negative effects begin to appear gradually. Therefore, it is of great significance to detect UAV. Because the micro Doppler effect of objects is different under the radar, the UAV can be detected by the time-frequency characteristics of the target micro Doppler signal. In this paper, the radar echo of the UAV rotor is simulated and analyzed by using the scattering point integral model. The results show that the UAV can be detected according to the time-frequency characteristics of the micro Doppler signal generated by the UAV rotor rotation. In this paper, Discrete Wavelet Transform is used to remove the environment clutter in radar signal, Singular Value Decomposition is used to extract the time-frequency characteristics of signal, and finally Support Vector Machine is used as classifier to detect UAV. The experiment shows that the detection accuracy can reach 85%.
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Li et al. (2020) studied this question.
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