In order to solve the problem of multi-rotor UAV target recognition, a micro-Doppler feature extraction algorithm based on Gabor transform is proposed by combining the instantaneous frequency estimation and fast Fourier transform(FFT). Firstly, the echo model of multi-rotor UAV is established, and the analysis of the influences of number of blades, rotor speed, and initial phase on the micro-Doppler characteristics is made by simulation. Then, Gabor transform is adopted to obtain time-frequency feature. Based on this, micro-Doppler frequency is extracted by the instantaneous frequency maximum value method, and the FFT of instantaneous frequency is used to extract rotor number and rotational frequency. With the above information, the length of the blade is calculated. Finally, the measured data for "Phantom 3S" show that the proposed algorithm extracts the micro-Doppler parameters accurately, indicating the effectiveness of the algorithm.
MA Jiao
,
DONG Yongwei
,
LI Yuan
,
LI Lingxiao
,
YANG Jiefang
. Multi-rotor UAV's micro-Doppler characteristic analysis and feature extraction[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(2)
: 235
-243
.
DOI: 10.7523/j.issn.2095-6134.2019.02.011
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