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Proceedings Paper

Neyman-Pearson tracker performance assessment
Author(s): Rockie Lee Ricks; Michael B. Klausen; John T. Barnett
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Paper Abstract

In this paper, a method of testing combinations of image processing, track-before-detect, and track-after-detect algorithms is presented. It emphasizes false track confirmation rates and the time required to confirm true tracks whereas methods in the literature emphasize track purity and accuracy in estimating the target state. This method, which is an extension of the Neyman- Pearson criterion, yields a single performance measure, the expected time to confirm a true target track. The value of this method is in potential for component algorithm (spatial filter, track-before-detect, track-after-defect) tradeoff and track discriminant studies. Using it, one may quantitatively compare the effect of different spatial filters or different track discriminants, or the effect of using more computationally intensive track-after-detect algorithms and less computationally intensive track-before-detect algorithms.

Paper Details

Date Published: 29 October 1997
PDF: 5 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.283960
Show Author Affiliations
Rockie Lee Ricks, Naval Command, Control and Ocean Surveillance Ctr. (United States)
Michael B. Klausen, Naval Command, Control and Ocean Surveillance Ctr. (United States)
John T. Barnett, Naval Command, Control and Ocean Surveillance Ctr. (United States)


Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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