Title :
Avian Micro-Doppler Feature Extraction Based on Frequency-Stepped Chirp ISAR
Author :
Feng, Cunqian ; Zhu, Feng ; Li, Song
Author_Institution :
Inst. of Missile, AFEU, Sanyuan, China
Abstract :
Avian detection is very important for the security and development of human´s aviation as well as the development of avian ecology and the prevention from avian influenza. In this paper, a new method of avian micro-Doppler feature extraction from spectrogram on the range-slow time plane based on frequency-stepped chirp ISAR is proposed. In the method, the micro-Doppler outline can be obtained to extract the micro-Doppler rotation frequency and magnitude. The feasibility and effectiveness of the method is proved by simulation results.
Keywords :
aerospace safety; airborne radar; avionics; feature extraction; security; synthetic aperture radar; avian detection; avian ecology; avian influenza; avian micro-Doppler feature extraction; aviation security; frequency-stepped chirp ISAR; range-slow time plane; spectrogram; Birds; Chirp; Feature extraction; Radar imaging; Spectrogram; Time frequency analysis;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600242
