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Proceedings Paper

HRR radar aircraft identification method based statistical feature
Author(s): Yicheng Jiang; Chunhai Yao; Ping Cheng
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Paper Abstract

A statistical feature based classifier is presented for high range resolution (HRR) radar aircraft identification. The match score method is utilized to correct the range migration of range profiles. The primary statistics required to determine are the peak location probability function and the peak amplitude probability density function. A single peak's belief can be obtained basing on them. The Dempster- Shafter evidence theory is used in multipeak fusion to get last belief, basing on which decision of identification are made. The experimental results from real radar aircraft data demonstrate that a high probability of correct identification can be obtained using the method proposed in this paper and fusion of 2-look can indeed improve the probability of correct identification.

Paper Details

Date Published: 24 September 2001
PDF: 5 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441667
Show Author Affiliations
Yicheng Jiang, Harbin Institute of Technology (China)
Chunhai Yao, Harbin Institute of Technology (China)
Ping Cheng, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies
Jun Shen; Sharatchandra Pankanti; Runsheng Wang, Editor(s)

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