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Proceedings Paper

Estimating trackability
Author(s): James R. Van Zandt
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Paper Abstract

Target tracking sensors and algorithms are usually evaluated using Monte Carlo simulations covering a large parameter space. We show a tracker for which the evaluation can be greatly simplified. We apply it to the one dimensional crossing track problem (e.g. ground target tracking in a dense target environment, where targets are confined to a road), and estimate the probability that measurements and tracks are incorrectly associated. If only position is measured, we find the probability of a misassociation is a very simple analytic function of the relevant parameters: measurement standard deviation, measurement interval, target density, and target acceleration. For normally distributed target velocities, the average time between misassociations also has a simple form. We suggest roll-up metrics for tracking sensors and tracking problems.

Paper Details

Date Published: 15 May 2012
PDF: 14 pages
Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 83930N (15 May 2012); doi: 10.1117/12.921466
Show Author Affiliations
James R. Van Zandt, MITRE Corp. (United States)


Published in SPIE Proceedings Vol. 8393:
Signal and Data Processing of Small Targets 2012
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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