A Robust Location Algorithm with Biased Extended Kalman Filtering of TDOA Data for Wireless Sensor Networks

摘要：

Many applications of wireless sensor networks (WSN) are based on self-positioning of sensor nodes. In this paper, an efficient robust location algorithm is proposed based on time measurement, requiring no global time synchronization in WSN and minimal extra hardware in sensor construction phase. We first utilize the TDOA measurements to locate target sensor node, then optimize the estimated values, which are educed from the algorithm as observed values for Extended Kalman filtering and position estimation. It is shown the algorithm mentioned in the paper is close to CRLB (Cramer-Rao lower bound) for the static location estimator.

作者: Chen Hongyang Deng Ping Xu Yongjun Li Xiaowei

作者单位: Institute of Mobile Communications, Southwest Jiaotong University, Chengdu 610031; Ningbo Chinese Ac Institute of Mobile Communications, Southwest Jiaotong University, Chengdu 610031 Ningbo Chinese Academy of Sciences Integrated Circuit Design Center (NBICC), Ningbo 315040;Network l

会议类型: 国际会议

会议名称: 2005年无线通信、网络和移动计算国际会议

会议地点: 武汉

会议语种:英文

页码: 883-886

在线出版日期: 2005-09-23（万方平台首次上网日期，不代表论文的发表时间）