DocumentCode :
58847
Title :
Classification of free rigid targets with micro-motions using inertial characteristic from radar signatures
Author :
Peng Lei ; Jun Wang ; Jinping Sun
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume :
50
Issue :
13
fYear :
2014
fDate :
June 19 2014
Firstpage :
950
Lastpage :
952
Abstract :
The potential of an object´s inertial characteristic is studied for the purpose of classification of free rigid targets in radar. Through the estimation of micro-motion parameters from micro-Doppler signals, the inertial characteristic can be further obtained. It is an intrinsic property of the targets themselves, and essentially independent of their diverse micro-motion states. Then a simple Bayesian classifier is adopted to make the target discrimination. Numerical results and analysis finally show that the inertia-based feature performs better than classic time-frequency and micro-dynamic characteristics in the classification application.
Keywords :
Bayes methods; radar signal processing; signal classification; time-frequency analysis; classic time-frequency characteristics; classification application; diverse micromotion states; free rigid target classification; inertia-based feature; inertial characteristic; microDoppler signals; microdynamic characteristics; micromotion parameters; radar signatures; simple Bayesian classifier; target discrimination;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.1091
Filename :
6838851
Link To Document :
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