Indoor Location Algorithm in Complex Wireless Environment

被引：0
|
作者：
Wang, Zhangang [1 ]
Lu, Zhiyu [1 ]
Lu, Hang [1 ]
Zhang, Yankui [1 ]
Jia, Donghang [1 ]
机构：
[1] Informat Engn Univ, Zhengzhou 450001, Peoples R China
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2016年 / 71卷
关键词：
3-dimensional positioning; TDOA; Two-Step Least Squares(TSLS); unscented Kalman filter (UKF); line-of-sight(LOS); non-line-of-sight(NLOS); TDOA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the 3-dimensional positioning problem in the indoor wireless environment, TDOA-based localization model is presented in this paper. The Two-Step Least Squares(TSLS) and unscented Kalman filter (UKF) algorithm are used to solve the target's position. In the case that the line-of-sight(LOS) or non-line-of-sight (NLOS) environment is unknown, the algorithm can adaptively identify the environmental parameters, and can give the accurate positioning results of the target. The positioning accuracy of the algorithm can reach decimeter level, so the algorithm meets the need of the indoor positioning better.
引用
收藏
页码：158 / 165
页数：8
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