基于旋翼叶片模型的无人机微多普勒特征生成方法比较研究

2019 6th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2019-04-16 DOI:10.1109/ICEEE2019.2019.00064

Bahar Ozen Bozdag, I. Erer

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引用次数: 3

摘要

无人机(UAV)的识别是一个具有挑战性的问题。为了进行识别，广泛使用无人机旋翼的微多普勒效应来提取特征。短时傅里叶变换(STFT)、Wigner-Ville分布(WVD)和s法是获取微多普勒信号最常用的方法。转子叶片长度、叶片数量和转速对微多普勒特征有显著的影响。本文研究了叶片长度、叶片数量和转速对微多普勒特征的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Comparative Study on Micro-Doppler Signature Generation Methods for UAVs Using Rotor Blade Model

Identification of the unmanned aerial vehicle (UAV) is a challenging problem. For identification, micro-Doppler effects from the rotors of UAVs are widely used to extract the features. Short Time Fourier Transform (STFT), Wigner-Ville distribution (WVD) and s method are the most common methods to obtain micro-Doppler signatures. Rotor blade length, number of blades and rotation rate have significant distinguishable effects on the micro-Doppler signatures. In this paper, effect of blade length, number of blades and rotation rate on micro-Doppler signatures are presented.

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2019 6th International Conference on Electrical and Electronics Engineering (ICEEE)

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