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Proceedings Paper

Techniques for iterative design of observer field tests
Author(s): John G. Bennett
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Paper Abstract

In field tests to compare the observability of combat vehicles, the test designer must select the optimum number of observation opportunities in order to balance collecting enough data to draw valid conclusions against the high cost of supporting vehicles and personnel at a test site. The test designer, however, generally lacks key parameters for the efficient design of the test. Namely, the designer lacks the detection probabilities of the vehicles at each range. The standard deviation of the difference in detection probability depends upon the detection probability itself. Therefore, the test designer must select the number of observations for each range based upon the conservative assumption that the probabilities are near 50%, the probability for the maximum standard deviation. In this paper, an iterative technique of test design is explored in order to improve the efficiency of observability tests.

Paper Details

Date Published: 6 August 2002
PDF: 5 pages
Proc. SPIE 4718, Targets and Backgrounds VIII: Characterization and Representation, (6 August 2002); doi: 10.1117/12.478795
Show Author Affiliations
John G. Bennett, U.S. Army Tank Automotive and Armament Command (United States)

Published in SPIE Proceedings Vol. 4718:
Targets and Backgrounds VIII: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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