Parallel tempered particle filter
Date
2010-05-26T19:57:49Z
Authors
Marinakis, Dimitri
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Abstract
In this paper, we present the concept of running multiple configuration-exchanging particle filters in parallel; each characterizing an increasingly 'smoothed' version of the target density via the technique of sampling at high temperatures. This technique is used in Markov Chain Monte Carlo to improve mixing where it is known as parallel tempering.
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Keywords
mobile robotics, particle filters