A Note on the Reward Function for PHD Filters with Sensor Control

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A Note on the Reward Function for PHD Filters with Sensor Control

The context is sensor control for multi-object Bayes filtering in the framework of partially observed Markov decision processes (POMDPs). The current information state is represented by the multi-object probability density function (pdf), while the reward function associated with each sensor control...

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Bibliographic Details
Main Authors:	Ristic, B., Vo, Ba-Ngu, Clark, D.
Format:	Journal Article
Published:	Aerospace & Electronic Systems Society 2011
Online Access:	http://hdl.handle.net/20.500.11937/30999

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