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6 August 2002 Techniques for iterative design of observer field tests
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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.
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John G. Bennett "Techniques for iterative design of observer field tests", Proc. SPIE 4718, Targets and Backgrounds VIII: Characterization and Representation, (6 August 2002);

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