An Estimation Method of Rotation Frequency of Unmanned Aerial Vehicle Based on Auto-correlation and Cepstrum

Chen SONG; Liangjiang ZHOU; Yirong WU; Chibiao DING

doi:10.11999/JEIT180399

Volume 41 Issue 2

Jan. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(2): 255-261

Chen SONG, Liangjiang ZHOU, Yirong WU, Chibiao DING. An Estimation Method of Rotation Frequency of Unmanned Aerial Vehicle Based on Auto-correlation and Cepstrum[J]. Journal of Electronics & Information Technology, 2019, 41(2): 255-261. doi: 10.11999/JEIT180399

Citation:

Chen SONG, Liangjiang ZHOU, Yirong WU, Chibiao DING. An Estimation Method of Rotation Frequency of Unmanned Aerial Vehicle Based on Auto-correlation and Cepstrum[J]. Journal of Electronics & Information Technology, 2019, 41(2): 255-261. doi: 10.11999/JEIT180399

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An Estimation Method of Rotation Frequency of Unmanned Aerial Vehicle Based on Auto-correlation and Cepstrum

doi: 10.11999/JEIT180399

1.
National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China
2.
Institute of electronics, Chinese Academy of Sciences, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

Received Date: 2018-04-27
Rev Recd Date: 2018-11-02

Available Online: 2018-11-12

Publish Date: 2019-02-01

Abstract

Abstract

Accurately estimating rotor rotation frequency of Unmanned Aerial Vehicle (UAV) is of great significance for UAV detection and recognition. For the UAV target echo model of LFMCW (Linear Frequency Modulated Continuous Wave) radar, this paper proposes an auto-correlation and cepstrum to estimate the rotor rotation frequency of UAV, which derives the mapping relationship between the rotor rotation frequency of UAV and the periodic delay in the radar echo cepstrum output, and more effectively estimates the rotor frequency of multi-rotor UAV by weighted equilibrium, making up for the shortages of traditional methods. The effectiveness of the method is verified by simulation and real scene experiments.
- Unmanned Aerial Vehicle (UAV),
- Micro-Doppler,
- Feature extraction,
- Parameter estimation,
- Auto-correlation cepstrum

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References(23)

References

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