A TOF and Kalman filtering joint algorithm for IEEE802.15.4a UWB Locating
TOA (Time of Arrival) algorithm can be used to locate.However,the source of random error is from the clock out of sync,nodescrystal frequency drift also causes inaccurate clock.So it needs to estimate channel parameters accurately,and eliminate the clock offset.But in the complex indoor environment,such as obstacles which cause the serious multipath propagation,one positioning method is not enough,reducing various errors is also an important thing.In this paper,the TOF (Time of Flight) and Kalman filtering joint algorithm will weaken the clock offset and positioning error.The simulation shows the feasibility of the proposed algorithm.
TOF Kalman filtering Joint algorithm UWB
Fang Dong Chong Shen Jie Zhang Sinv Zhou
College of Information Science &Technology,Hainan University Haikou,China
国际会议
重庆
英文
948-951
2016-03-20(万方平台首次上网日期,不代表论文的发表时间)