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

被引：4
|
作者：
Bozdag, Bahar Ozen [1 ]
Erer, Isin [1 ]
机构：
[1] Istanbul Tech Univ, Telecommun Engn, Istanbul, Turkey
来源：
2019 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE 2019) | 2019年
关键词：
micro-Doppler signature; short time Fourier Transform; Wigner-Ville distribution (WVD); s method; rotor blade;
D O I：
10.1109/ICEEE2019.2019.00064
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：298 / 301
页数：4
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