标题:Performance enhancement for INS/UWB integrated indoor tracking using distributed iterated extended Kalman filter
作者:Xu, Yuan ;Tian, Guohui ;Chen, Xiyuan
通讯作者:Tian, Guohui
作者机构:[Xu, Yuan ;Tian, Guohui ] School of Control Science and Engineering, Shandong University, Jinan; 250061, China;[Chen, Xiyuan ] School of Instrument Sc 更多
会议名称:5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
会议日期:22 March 2018 through 23 March 2018
来源:Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
出版年:2018
DOI:10.1109/UPINLBS.2018.8559891
关键词:Indoor human positioning; inertial navigation system (INS); iterated extended Kalman filter; tightly-coupled model; UltraWideBand (UWB)
摘要:In this work, an improving distributed iterated extended Kalman filter (DIEKF) for INS/UWB integrated human positioning is proposed. In this model, we employ iterated extended Kalman filter (IEKF) as local filter for the data fuse in each wireless channel, and the distances measured by the UWB and that values measured by the IMU are both sent to the IEKF. Then, the main filter works with the output of the local IEKF and output the estimation of the INS position error. The optimal estimation of the navigation solution is calculated by the INS position and the filter output. The test results show that the performance of the proposed method is better than the traditional EKF in position accuracy. © 2018 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057417311&doi=10.1109%2fUPINLBS.2018.8559891&partnerID=40&md5=3f35cbcc78f29249ca914c181b3db9e2
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