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 MoreMetadata
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.
Published in: 2015 International Conference on Control, Automation and Information Sciences (ICCAIS)
Date of Conference: 29-31 October 2015
Date Added to IEEE Xplore: 30 November 2015
ISBN Information: