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Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking | IEEE Conference Publication | IEEE Xplore

Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking


Abstract:

In this paper, we consider a sensor network with limited sensing range and present a sensor selection algorithm for multi-target tracking problem. The proposed algorithm ...Show More

Abstract:

In this paper, we consider a sensor network with limited sensing range and present a sensor selection algorithm for multi-target tracking problem. The proposed algorithm is based on the multi-Bernoulli filtering and a collection of sub-selection problems for individual target. A sub-selection problem for each target is investigated under the framework of partially observed Markov decision process. Each sub-selection problem is solved using a combination of information theoretic method and limited sensing range. Numerical studies validate the effectiveness of our method for multi-target tracking scenario in a sensor network.
Date of Conference: 29-31 October 2015
Date Added to IEEE Xplore: 30 November 2015
ISBN Information:
Conference Location: Changshu

References

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