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- Title
基于循环谱的外辐射源无人机微动特征检测.
- Authors
谢跃雷; 刘 信; 梁文斌
- Abstract
In order to reduce the difficulty of unmanned aerial vehicle(UAV) micro-Doppler characteristic signal detection,a micro-Doppler feature detection algorithm based on passive radar and cyclic spectrum is proposed. Firstly,a passive radar echo signal model based on digital TV terrestrial broadcasting digital terrestrial multimedia broadcast(DTMB) is established,the cyclic spectrum of each component signal is analyzed,and the contour map of the cyclic spectrum is extracted to obtain two-dimensional feature information. Then,the micro-motion modulation of the DTMB signal by the UAV rotor is used as the detection target,and on this basis,the cyclic spectrum detection and theoretical simulation are performed. The algorithm directly performs cyclic processing on the received signal without complex clutter suppression. The experimental results verify that the algorithm can accurately detect the micro-Doppler characteristics of the UAV.
- Subjects
PASSIVE radar; DRONE aircraft; SIGNAL processing; CONTOURS (Cartography); BROADCASTING industry; BALLAST (Railroads)
- Publication
Telecommunication Engineering, 2021, Vol 61, Issue 4, p446
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2021.04.010