UWB positioning enhancement using Markov chain in indoor NLOS environment  

作　　者：Li Shaoxian Lii Fan Wang Chengrui Hou Yanzhao 

机构地区：[1]International School,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2020年第4期54-58,98,共6页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China ( 61701042)。

摘　　要：The accuracy of the positioning system in indoor environment is often affected by none-line-of-sight(NLOS) propagation. In order to improve the positioning accuracy in indoor NLOS environment, a method used ultra-wide-band(UWB) technology, which based on time of arrival(TOA) principle, combining Markov chain and fingerprint matching was proposed. First, the TOA algorithm is used to locate the target tag. Then the Markov chain is used to identify if blocking happened and revise the position result. And the fingerprint matching is used to further improve the position accuracy. Finally, an experiment system was built to test the accuracy of the proposed method and the traditional Kalman filter method. The experimental results show that, compared with the traditional Kalman filter method, the proposed method can improve the positioning accuracy in indoor NLOS environment.

关 键 词：wireless location time of arrival(TOA) ultra-wide band(UWB) Markov chain fingerprint matching 

分 类 号：TN925[电子电信—通信与信息系统]