Title :
A Comparison of Methods for Estimating Track-to-Track Assignment Probabilities
Author :
Kragel, Bret ; Herman, Shawn ; Roseveare, Nick
Author_Institution :
Numerica Corp., Loveland, CO, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
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.
Keywords :
Markov processes; importance sampling; probability; sensor fusion; target tracking; IS; MCMC algorithm; Markov chain Monte Carlo estimation; accuracy; importance sampling; k-best data association hypotheses enumeration; operating regime; runtime performance; track-to-track assignment probability estimation; two-dimensional track-to-track assignment problem; Data models; Estimation; Markov processes; Monte Carlo methods; Proposals; Sensors; Surveillance;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2012.6237567
