DocumentCode :
2512713
Title :
Radar target discrimination using neural networks
Author :
Lee, Joon-Ho ; Kim, Hyo-Tae
Author_Institution :
Dept. of Inf. & Commun. Eng., Sejong Univ., Seoul, South Korea
fYear :
2010
fDate :
14-16 July 2010
Firstpage :
358
Lastpage :
360
Abstract :
Time domain response based neural network and frequency domain response based neural network have been proposed for radar target recognition. In this paper, we propose a natural frequency based neural network for radar target recognition. Our scheme makes advantage of an aspect angle independence of a natural frequency. In the results, we show that, for the multiple aspect angles, natural frequency based neural network is superior to time domain response based neural network.
Keywords :
neural nets; radar target recognition; frequency domain response; natural frequency; neural network; radar target recognition; time domain response; Artificial neural networks; Noise measurement; Radar; Target recognition; Time domain analysis; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the IEEE 2010 National
Conference_Location :
Fairborn, OH
ISSN :
0547-3578
Print_ISBN :
978-1-4244-6576-7
Type :
conf
DOI :
10.1109/NAECON.2010.5712977
Filename :
5712977
Link To Document :
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