Comparison of two MDA algorithms for a problem in missile defense

J. Areta; Y. Bar-Shalom; M. Levedahl

doi:10.1117/12.667630

19 May 2006 Comparison of two MDA algorithms for a problem in missile defense

J. Areta, Y. Bar-Shalom, M. Levedahl

Proceedings Volume 6236, Signal and Data Processing of Small Targets 2006; 623611 (2006) https://doi.org/10.1117/12.667630
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In this paper we compare the performance of two Multidimensional Assignment Algorithms (MDA), the Lagrangean Relaxation based S-D algorithm and the Sequential m-best 2-D algorithm, applied to a realistic problem in missile defense surveillance. The benchmark problem consists of a set of sources that provide "event" (track) estimates of multiple launches, via a number of communication networks to a Fusion Center (FC) which has to perform data association prior to fusion. The network model used "loses" the information tag that distinguishes reports from the same source transmitted through different networks, i.e., the track identity (ID) assigned by the source is not passed on. Only a track ID assigned by the network, and the source ID accompany the track. Thus detection and elimination of track duplications at the FC is needed. The proposed hierarchical approach to the problem requires the solution of several MDA problems before calculating the fused estimate, so accuracy of the solution of each is crucial. Examples with several launches, sources and networks are presented to compare the performance of the two assignment algorithms.

Citation Download Citation

J. Areta, Y. Bar-Shalom, and M. Levedahl "Comparison of two MDA algorithms for a problem in missile defense", Proc. SPIE 6236, Signal and Data Processing of Small Targets 2006, 623611 (19 May 2006); https://doi.org/10.1117/12.667630

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