Distributed Implementation of Particle Filters for Collaborative Tracking in Mobile Ad-hoc and Sensor Networks
Distributed particle filtering algorithms are studied in this paper for collaborative tracking in mobile adhoc and sensor networks.With collaborative tracking methods,multiple unknown location (UL) nodes are tracked simultaneously based on not only the measurements between UL nodes and reference nodes with known locations,but also the measurements among UL nodes.Thus,UL nodes can help one another to achieve better performance.We propose a distributed collaborative tracking algorithm with particle filters and study the performance through various simulations.
Xinrong Li
Department of Electrical Engineering,University of North Texas,Denton,Texas,USA
国际会议
9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)
北京
英文
2008-10-26(万方平台首次上网日期,不代表论文的发表时间)