Target tracking in wireless sensor networks using adaptive measurement quantization

作     者：ZHOU Yan 1,2,LI JianXun 2 & WANG DongLi 1 1 Colleage of Information Engineering,Xiangtan University,Xiangtan 411105,China 2 Department of Automation,Shanghai Jiao Tong University,Shanghai 200240,China 

作者机构：Colleage of Information Engineering Xiangtan University Xiangtan China Department of Automation Shanghai Jiao Tong University Shanghai China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2012年第55卷第4期

页      面：827-838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）] 080202[工学-机械电子工程] 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] 0802[工学-机械工程] 

基　　金：supported by National Natural Science Foundation of China(Grant Nos.60874104,60935001) National High-Tech Research & Development Program of China(Grant No.2009CB824900) Key Foundation for Basic Research from Shanghai(Grant No.08JC1411800) 

主　　题：target tracking wireless sensor network adaptive quantization posterior Cram’er-Rao lower bound 

摘      要：Quantization/compression is usually adopted in wireless sensor networks (WSNs) since each sensor node typically has very limited power supply and communication *** consider the problem of target tracking in a WSN with quantized measurements in this *** is focused on the design of measurement quantizer with adaptive *** on the probability density function (PDF) of the signal amplitude measured at a random location and by maximizing the entropy,an adaptive design method for quantization thresholds is *** to the nonlinear measuring and quantization models,particle filtering (PF) is adopted in the fusion center (FC) to estimate the target *** Cram er-Rao lower bounds (CRLBs) for tracking accuracy using quantized measurements are also ***,a simulation example on tracking single target with noisy circular trajectories is provided to illustrate the effectiveness of the proposed approach.