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

Bahar Ozen Bozdag, I. Erer
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引用次数: 3

Abstract

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.
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
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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