A New Hybrid TOA/RSS Location Tracking Algorithm for Wireless Sensor Network

摘要：

This paper presents a new TOA/RSS hybrid location tracking algorithm for a partial synchronized wireless sensor network,which use:(1)both TOA and RSS measurements to give better tracking accuracy,and 2)Particle filter to deal with the nonlinear system model,which can approximate the optimal Bayesian estimate.Numerical simulations show that the new algorithm has better performance and robustness with relatively low-cost network.

关键词： WSN TOA/RSS Location tracking Particle filter

作者: Yueming Song Hongyi Yu

作者单位: Zhengzhou Information Science and Technology Institute P.O.BOX 1001,NO.828,Zhengzhou,Henan,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）