DocumentCode :
2385658
Title :
Radar high resolution range profile target recognition based on T-mixture model
Author :
Wang, Caiyun ; Xie, Jiling
Author_Institution :
Acad. of Frontier Sci., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2011
fDate :
23-27 May 2011
Firstpage :
762
Lastpage :
767
Abstract :
This paper develops a T mixture model (TMM) approach to automatic radar target recognition. The specific problem considered is the classification of radar high-resolution range profile (HRRP). We model the radar returns from each target as a T-mixture distribution. Estimation of the model parameters is achieved using a modified expectation-maximization (EM), i.e., fuzzy EM (FEM) algorithm. Experimental results demonstrate the proposed statistical model not only has better recognition performance but also is more robust to noises than other methods.
Keywords :
expectation-maximisation algorithm; fuzzy set theory; pattern classification; radar target recognition; statistical distributions; T-mixture distribution; T-mixture model; automatic radar target recognition; classification; fuzzy EM algorithm; fuzzy expectation-maximization algorithm; radar high resolution range profile target recognition; Clustering algorithms; Computational modeling; Estimation; Radar; Robustness; Signal to noise ratio; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
ISSN :
1097-5659
Print_ISBN :
978-1-4244-8901-5
Type :
conf
DOI :
10.1109/RADAR.2011.5960640
Filename :
5960640
Link To Document :
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