Research on Modeling and Simulation Analysis of Flapping-Wing Motion Based on Laser Micro-Doppler

In recent years, flapping-wing unmanned aerial vehicles (UAVs) inspired by the flight skills of insects and birds have developed rapidly and become a new hotspot in the field of UAV attack and defense. At present, the research on the detection and identification of flapping-wing UAVs has not been fully carried out. According to the characteristics of lidar radar and the form of flapping-wing motion, this article establishes a rectangular-triangular composite scatter model. The motion echo signals under different radar azimuths and different flapping-wing parameters are obtained by simulation, and the short-time Fourier transform is performed on them. The influence of radar azimuth and flapping-wing parameters on the time-frequency characteristics of flapping-wing motion is deeply discussed. The results show that when the azimuth angle ranges from 30° to 80° and the pitch angle ranges from 20° to 80°, the absolute error of flapping-wing angle estimation is less than 11°, the absolute error of flapping-wing length estimation is less than 10cm, and the relative error of parameter relationship is less than 11% when the signal to noise ratio (SNR) is 10. The research results show that the lidar micro-Doppler system has good detection and identification capabilities for flapping-wing UAVs, and has good system compatibility with existing optoelectronic imaging detection, and has broad application space in the future.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/aisomt64170.2024.10992042
Primary Topic
Biomimetic flight and propulsion mechanisms
Type
article
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article

Research on Modeling and Simulation Analysis of Flapping-Wing Motion Based on Laser Micro-Doppler

Xin Dai, Tengyun Wu, Dan Jiao, Jianlong Zhang et al.
Biomimetic flight and propulsion mechanisms
article

Research on Modeling and Simulation Analysis of Flapping-Wing Motion Based on Laser Micro-Doppler

Xin Dai, Tengyun Wu, Dan Jiao, Jianlong Zhang, Yong Zhang, Liqiang Wang, Zhen Yang
article en

Abstract

In recent years, flapping-wing unmanned aerial vehicles (UAVs) inspired by the flight skills of insects and birds have developed rapidly and become a new hotspot in the field of UAV attack and defense. At present, the research on the detection and identification of flapping-wing UAVs has not been fully carried out. According to the characteristics of lidar radar and the form of flapping-wing motion, this article establishes a rectangular-triangular composite scatter model. The motion echo signals under different radar azimuths and different flapping-wing parameters are obtained by simulation, and the short-time Fourier transform is performed on them. The influence of radar azimuth and flapping-wing parameters on the time-frequency characteristics of flapping-wing motion is deeply discussed. The results show that when the azimuth angle ranges from 30° to 80° and the pitch angle ranges from 20° to 80°, the absolute error of flapping-wing angle estimation is less than 11°, the absolute error of flapping-wing length estimation is less than 10cm, and the relative error of parameter relationship is less than 11% when the signal to noise ratio (SNR) is 10. The research results show that the lidar micro-Doppler system has good detection and identification capabilities for flapping-wing UAVs, and has good system compatibility with existing optoelectronic imaging detection, and has broad application space in the future.

Harbin Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 51%
Biomimetic flight and propulsion mechanisms
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