Volume 5 Number 5 (Oct. 2013)
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IJCEE 2013 Vol.5(5): 500-504 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2013.V5.761

The T-Mixture Model Approach for Radar HRRP Target Recognition

Caiyun Wang and Jiling Xie
Abstract—This paper addresses the problem of automatic radar target recognition using high-resolution range profile (HRRP). We develop a t-mixture model (TMM) to model radar echoes from each target as the t-distribution forms. Estimation of the model parameters is achieved using a modified expectation-maximization (EM), i.e., fuzzy EM (FEM) algorithm. Numerical simulation results show that the proposed approach can achieve good performance of robustness and higher recognition rate. It is helpful for real-time identification and the engineering implements of automatic target recognition using HRRP.

Index Terms—High-resolution range profile (HRRP), radar automatic target recognition (RATR), t-mixture model (TMM), statistical model, expectation-maximization (EM).

Caiyun Wang is with the Nanjing University of Aeronautics and Astronautics, Nanjing 210016 China (e-mail: wangcaiyun@nuaa.edu.cn).
Jiling Xie is with the Nanjing Research Institute of Electronics Technology, Nanjing 210039 China (e-mail: xiejiling@sina.com).

Cite:Caiyun Wang and Jiling Xie, "The T-Mixture Model Approach for Radar HRRP Target Recognition," International Journal of Computer and Electrical Engineering vol. 5, no. 5, pp. 500-504, 2013.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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