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IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)
Nearest Neighbour Criterion - Analitical Performance Evaluation
Sofia, Bulgari
October 03-October 06
ISBN: 0-7695-2643-8
Ljudmil Bojilov, IPP, BAS
In this paper we consider the capabilities of nearest neighbor as a criterion of data association to ensure correct decision in associating measurement to target. We continue the work started in our previous paper to establish analytical approach end to derive explicit expressions for calculating correct data association probability for different levels of false alarm densities. Recurrent equation for correct association probability is derived. By means of this equation expressions for some particular values of FA densities are received. The correctness of the derivation is proved by the results of exhaustive Monte Carlo simulations.
Index Terms:
target tracking, gating, false returns, noise level.
Citation:
Ljudmil Bojilov, "Nearest Neighbour Criterion - Analitical Performance Evaluation," jva, pp.132-136, IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06), 2006
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