Nonlinear Fusion Using Quantized Measurements and Cubature Particle Filter

摘要：

　　Consider the nonlinear estimation fusion problem for dynamic stochastic process in sensor networks.Due to bandwidth or energy constraints,only quantized messages of the original information from local sensor are available.For a class of vector state-vector observation model,a quantized cubature particle filter (CPF) method is presented in this paper.Firstly,each sensor quantizes each component of the measurement verbatim and sends to fusion center (FC).Subsequently,FC compresses the quantized messages from local sensors in best linear unbiased estimation (BLUE) fusion rule.Finally,CPF is used to obtain a state estimation.Computer simulations show effectiveness of the developed method.

关键词： Nonlinear fusion Wireless sensor network Quantization Cubature particle filter

作者: Xianfeng Tang Binlei Guan Quanbo Ge Xiaoliang Xu

作者单位: Modem Educational Technology Center, Zhejiang University, Hangzhou 310028, China School of Electron and Information Engineering, Ningbo University of Technology, Ningbo 315016, Chin Institute of System Science and Control Engineering, Hangzhou Dianzi University, Hangzhou 310018, Ch School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 3692-3697

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）