Radar backscattering modelling and micro‐motion parameter estimation method for quadcopter | Zendy

Mao Tong | Zendy; Li Zhangfeng | Zendy; Zhu Kaiqiang | Zendy; Zhang Yi | Zendy; Sun Houjun | Zendy

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Radar backscattering modelling and micro‐motion parameter estimation method for quadcopter

Author(s) -

Mao Tong,

Li Zhangfeng,

Zhu Kaiqiang,

Zhang Yi,

Sun Houjun

Publication year - 2022

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/rsn2.12172

Subject(s) - quadcopter , rotor (electric) , radar , rotation (mathematics) , range (aeronautics) , computer science , acoustics , signal (programming language) , rotational speed , work (physics) , control theory (sociology) , physics , computer vision , artificial intelligence , aerospace engineering , engineering , telecommunications , control (management) , quantum mechanics , programming language , thermodynamics

Due to the high‐speed rotors and overlapped propellers, it is still a challenge to extract the micro‐motion parameters of the quadcopter. In this work, the authors establish a radar backscattering model of the quadcopter based on the flight control theory and radar backscattering characteristics. Then, the improved template matching method and peak grouping method are proposed to capture the periodic information for overlapped propellers on a range‐time profile and extract the rotation speeds of rotors. By simulating the nine types of quadcopter movements, the relative error of the rotation speeds is estimated to be lower than 1.4% for each rotor with a signal‐to‐noise ratio of 15 d B .

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