Frontiers of Information Technology & Electronic Engineering
>> 2018,
Volume 19,
Issue 4
doi:
10.1631/FITEE.1601695
Orginal Article
Mutual-information basedweighted fusion for target tracking in underwater wireless sensor networks
. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China.. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China.
Available online: 2018-06-28
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Abstract
Underwater wireless sensor networks (UWSNs) can provide a promising solution to underwater target tracking. Due to limited energy and bandwidth resources, only a small number of nodes are selected to track a target at each interval. Because all measurements are fused together to provide information in a fusion center, fusion weights of all selected nodes may affect the performance of target tracking. As far as we know, almost all existing tracking schemes neglect this problem. We study a weighted fusion scheme for target tracking in UWSNs. First, because the mutual information (MI) between a node’s measurement and the target state can quantify target information provided by the node, it is calculated to determine proper fusion weights. Second, we design a novel multi-sensor weighted particle filter (MSWPF) using fusion weights determined by MI. Third, we present a local node selection scheme based on posterior Cramer-Rao lower bound (PCRLB) to improve tracking efficiency. Finally, simulation results are presented to verify the performance improvement of our scheme with proper fusion weights.
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