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Proceedings Paper

Research on target recognition techniques of radar networking based on fuzzy mathematics
Author(s): Chengbin Guan; Guohong Wang; Chengzhun Guan; Jinshan Pan
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Paper Abstract

Nowadays there are more and more targets, so it is more difficult for radar networking to track the important targets. To reduce the pressure on radar networking and the waste of ammunition, it is very necessary for radar networking to recognize the targets. Two target recognition approaches of radar networking based on fuzzy mathematics are proposed in this paper, which are multi-level fuzzy synthetical evaluation technique and lattice approaching degree technique. By analyzing the principles, the application techniques are given, the merits and shortcomings are also analyzed, and applying environments are advised. Another emphasis is the compare between the multiple mono-level fuzzy synthetical evaluation and the multi-level fuzzy synthetical evaluation, an instance is carried out to illuminate the problem, then the results are analyzed in theory, the conclusions are gotten which can be instructions for application in engineering.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880D (15 November 2007); doi: 10.1117/12.743646
Show Author Affiliations
Chengbin Guan, NAEI (China)
Guohong Wang, NAEI (China)
Chengzhun Guan, The Chinese People's Liberation Army (China)
Jinshan Pan, NAEI (China)

Published in SPIE Proceedings Vol. 6788:
MIPPR 2007: Pattern Recognition and Computer Vision
S. J. Maybank; Mingyue Ding; F. Wahl; Yaoting Zhu, Editor(s)

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