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Proceedings Paper

Study on simulation and experiment of laser micro-Doppler effect for detecting complex vibration
Author(s): Shuai Yuan; Juan Zhang; Mei-juan Liu; Jun Zhang
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Paper Abstract

The spectrum of radar signal will be modulated by moving target or vibration and turning part of the target, this is called micro-Doppler effect. It is a new way of using micro-Doppler effect to realize the feature extraction and target recognition. Because the complex vibration target has more complicated frequency component than the single frequency target, so it is very useful to do the research of simulation and experiment of laser micro-Doppler effect for detecting complex vibration. In this paper, the research on simulation and experiment of laser micro-Doppler effect for detecting complex vibration of moving target was developed based on the simulation research of micro-Doppler effect in lidar. Firstly, the geometry of complex vibrating target detection in radar was established. Secondly, the simulation and experiment signal sources were compared and also the returned signals in radar of the simulation and experiment were compared, the compared results showed that the two complex signal sources were very similar, and the frequency change trend of returned signals in radar was the same. Thirdly, joint time-frequency analysis method of the reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) was introduced to analyze the signals. The results showed that in RSPWVD, the waveform of the vibration target, the target vibration period, the Doppler frequency shift and the target’s speed can be got. The simulation results and the experiment results got by the RSPWVD had the basically same frequency characteristics. So the RSPWVD can reflect very well the micro-Doppler characteristics of moving target’s complex vibration. In conclusion it proved the validity of the simulated model, also it proved that using this time-frequency method to analyze the micro-Doppler signal of complex vibration was correct. And it laid the foundation of further using lidar to realize the classification and identification of target.

Paper Details

Date Published: 21 August 2013
PDF: 7 pages
Proc. SPIE 8906, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems, 890608 (21 August 2013); doi: 10.1117/12.2031690
Show Author Affiliations
Shuai Yuan, Wenjing College of Yantai Univ. (China)
Juan Zhang, Automotive Engineering Vocational College (China)
Mei-juan Liu, Wenjing College of Yantai Univ. (China)
Jun Zhang, Yantai Univ. (China)


Published in SPIE Proceedings Vol. 8906:
International Symposium on Photoelectronic Detection and Imaging 2013: Laser Communication Technologies and Systems
Keith E. Wilson; Jing Ma; Liren Liu; Huilin Jiang; Xizheng Ke, Editor(s)

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