We use the two-dimensional track-to-track assignment problem to analyze the trade-off between accuracy and runtime performance for three methods of estimating track-to-track assignment probabilities: enumeration of the k-best data association hypotheses, importance sampling (IS), and Markov chain Monte Carlo (MCMC) estimation. We also characterize the appropriate operating regime for each method.
A Comparison of Methods for Estimating Track-to-Track Assignment Probabilities
IEEE Transactions on Aerospace and Electronic Systems ; 48 , 3 ; 1870-1888
2012-07-01
3307933 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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