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- W1996003159 abstract "The maximum likelihood-probabilistic data association (MLPDA) target tracking algorithm is effective in tracking very low observable targets. A key limitation of MLPDA is that it is restricted to tracking a single target. We derive and implement a multiple target version of MLPDA called Joint MLPDA (JMLPDA). While the JMLPDA implementation presented in this paper is focused on a two-target case, this algorithm is extensible to any number of targets. The MLPDA and JMLPDA algorithms are combined to form a multi-target MLPDA tracking algorithm. Performance of the JMLPDA and the multi-target MLPDA algorithms are compared to a probabilistic multi-hypothesis tracker (PMHT) for two crossing targets, focusing on track management/update. Simulation results show that under conditions of heavy clutter, the multi-target MLPDA outperforms PMHT in terms of reduced track errors and longer track life." @default.
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- W1996003159 date "2007-01-01" @default.
- W1996003159 modified "2023-10-11" @default.
- W1996003159 title "Multiple Target Tracking Using Maximum Likelihood Probabilistic Data Association" @default.
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- W1996003159 doi "https://doi.org/10.1109/aero.2007.353035" @default.
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