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Proceedings Paper

Performance model for joint tracking and ATR with HRR radar
Author(s): Shan Cong; Lang Hong; Erik Blasch
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Paper Abstract

Joint tracking and ATR with HRR radar is an important field of research in recent years. This paper addresses the issue of end-to-end performance modeling for HRR radar based joint tracking and ATR system under various operating conditions. To this end, an ATR system with peak location and amplitude as features is considered. A complete set of models are developed to capture the statistics in all stages of processing, including HRR signal, extracted features, Baysian classifier and tracker. In particular, we demonstrate that the effect of operating conditions on feature can be represented through a random variable with Log-normal distribution. Then, the result is extended to predicting the system performance under specified operating conditions. Although this paper is developed based on a type of ATR and tracking system, the result indicates the trend of the performance for general joint ATR and tracking system over operating conditions. It also provides guidance to how the empirical performance model of a general joint tracking and ATR system shall be constructed.

Paper Details

Date Published: 15 April 2008
PDF: 12 pages
Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700T (15 April 2008); doi: 10.1117/12.777708
Show Author Affiliations
Shan Cong, Wright State Univ. (United States)
Lang Hong, Wright State Univ. (United States)
Erik Blasch, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6970:
Algorithms for Synthetic Aperture Radar Imagery XV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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