Pattern recognition based Kalman filter for indoor localization using TDOA algorithm | |
Han Tao; Lu Xiaochun; Lan Qi | |
2010 | |
发表期刊 | APPLIED MATHEMATICAL MODELLING
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ISSN | 0307-904X |
卷号 | 34期号:10页码:2893-2900 |
摘要 | In this paper, we will present a motion pattern recognition based Kalman filter (PRKF), and apply it to the time difference of arrival (TDOA) algorithm of indoor localization. The state matrix in Kalman filter (KF) is determined by the motion pattern which the target node is supposed to act, and this will bring new system error if the assumption is not correct. Considering this, we first create three fuzzy sets using three KFs whose state matrix stand for different motion patterns, then linearly combined the memberships of a target node of the fuzzy sets. Finally, simulation results show that the PRKF can enhance the localization accuracy about more than 20%. (C) 2009 Elsevier Inc. All rights reserved. |
部门归属 | 导航与通信研究室 |
关键词 | Time Delay Of Arrival Fuzzy Set Membership Function Pattern |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000278690300019 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://210.72.145.45/handle/361003/4772 |
专题 | 导航与通信研究室 |
推荐引用方式 GB/T 7714 | Han Tao,Lu Xiaochun,Lan Qi. Pattern recognition based Kalman filter for indoor localization using TDOA algorithm[J]. APPLIED MATHEMATICAL MODELLING,2010,34(10):2893-2900. |
APA | Han Tao,Lu Xiaochun,&Lan Qi.(2010).Pattern recognition based Kalman filter for indoor localization using TDOA algorithm.APPLIED MATHEMATICAL MODELLING,34(10),2893-2900. |
MLA | Han Tao,et al."Pattern recognition based Kalman filter for indoor localization using TDOA algorithm".APPLIED MATHEMATICAL MODELLING 34.10(2010):2893-2900. |
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