The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 53-374
Full Name: Jiansheng Fu
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: College of Electronic Engineering, University of Electronic Science and Technology of China, No.4, Section 2, North Jianshe Road, Chengdu
Country: CHINA
Tel: 13608237285
Tel prefix: 86
Fax: +86-28-83207082
E-mail address: fujiansheng2010@126.com
Other E-mails: gladwolf01@163.com
Title of the Paper: radar HRRP target recognition based on discriminant information analysis
Authors as they appear in the Paper: Jiansheng Fu, Xiaohong Deng, Wanlin Yang
Email addresses of all the authors: fujiansheng2010@126.com,50561736@qq.com,wlyang@uestc.edu.cn
Number of paper pages: 17
Abstract: In this paper, another extension of kernel Fisher discriminant analysis (KFDA) for multi-class cases, namely distributed KFDA (D-KFDA), is proposed by using the cost-normalized KFDA against others one by one. Compared with the generalized discriminant analysis (GDA), D-KFDA not only more suits for distributed computing and multi-class discrimination, but also costs less computation time and space. Based on D-KFDA, three distributed two-class-discriminant models, i.e., self-estimation D-KFDA (S-D-KFDA), other-estimation D-KFDA (O-D-KFDA) and general-estimation D-KFDA (G-D-KFDA), are presented for multi-class recognition. Experiment results on the measured and simulated radar HRRP databases confirm the recognition efficiency of the proposed models.
Keywords: Discriminant information, Feature extraction, Target recognition, Generalized discriminant analysis.
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