Mutual-information based weighted fusion for target tracking in underwater wireless sensor networks

作     者：Duo ZHANG Mei-qin LIU Sen-lin ZHANG Zhen FAN Qun-fei ZHANG 

作者机构：State Key Laboratory of Industrial Control TechnologyZhejiang University College of Electrical EngineeringZhejiang University School of Marine Science and TechnologyNorthwestern Polytechnical University 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2018年第19卷第4期

页      面：544-556页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：Project supported by the National Natural Science Foundation of China(Nos.61531015,61673345,and 61374021) the NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization(Nos.U1609204 and U1709203) 

主　　题：Target tacking Fusion weight Mutual information Node selection Underwater wireless sensor networks 

摘      要：Underwater wireless sensor networks(UWSNs)can provide a promising solution to underwater target *** to limited energy and bandwidth resources,only a small number of nodes are selected to track a target at each *** all measurements are fused together to provide information in a fusion center,fusion weights of all selected nodes may affect the performance of target *** far as we know,almost all existing tracking schemes neglect this *** study a weighted fusion scheme for target tracking in ***,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 ***,we design a novel multi-sensor weighted particle filter(MSWPF)using fusion weights determined by ***,we present a local node selection scheme based on posterior Cramer-Rao lower bound(PCRLB)to improve tracking ***,simulation results are presented to verify the performance improvement of our scheme with proper fusion weights.