15 September 2005 A hierarchical benchmark association problem in missile defense
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Abstract
This paper formulates a benchmark data association problem in a missile defense surveillance problem. The specific problem considered deals with set of sources that provide "event" (track) estimates via a number of communication networks to a Fusion Center (FC) which has to perform data association prior to fusion. A particular feature of the network model is that the information to distinguish among reports from the same source transmitted through different networks is not available at the FC: the track identity (ID) assigned by the source is not passed on, but only a track ID assigned by the network, and the source ID accompany the track. This makes it necessary to detect and eliminate track duplications at the FC among the messages with the same source ID but different network ID. The resulting data, organized into sensor lists, is associated using a likelihood based cost function with one of the several existing multidimensional assignment (MDA) methods. A comparison of the following two association criteria: Mahalanobis distance ("chi-square") and likelihood ratio (LR) is carried out. It is shown that the LR yields significantly superior results. The tracks obtained after association are fused using a Maximum Likelihood approach. An additional complication is that false reports can be also transmitted by the sources. Examples with several launches, sources and networks are presented to illustrate the proposed solution and compare the performances of two assignment algorithms - the Lagrangean relaxation based S-D and the sequential m-best 2-D - on this realistic problem.
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J. Areta, J. Areta, Y. Bar-Shalom, Y. Bar-Shalom, M. Levedhal, M. Levedhal, } "A hierarchical benchmark association problem in missile defense", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591315 (15 September 2005); doi: 10.1117/12.619258; https://doi.org/10.1117/12.619258
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