An algorithm of NLOS error identification and mitigation in mobile location estimation

被引：1

作者：

Zhu C. ^{[1
]}

Xiao N. ^{[2
]}

机构：

[1] School of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guangxi, Guilin

[2] Department of Information Engineering, Bowen College of Management, Guilin University of Technology, No. 317, Yanshan Street, Guangxi, Guilin

来源：

International Journal of Security and Networks | 2021年 / 16卷 / 02期

关键词：

Identification; Kalman filter; Mitigation; Non-line-of-sight; Positioning accuracy;

D O I：

10.1504/IJSN.2021.116773

中图分类号：

O24 [计算数学];

学科分类号：

070102 ;

摘要：

For the purpose of improving positioning accuracy of mobile station in the complex environment, a real-time non-line-of-sight (NLOS) identification and elimination method is proposed based on the characteristics of NLOS error. In this algorithm, Kalman filter (KF) is used to identify whether NLOS errors are included in range measurements in real time. According to the positive deviation characteristics of NLOS errors, there is a positive deviation between the smoothing curve of distance measurements and the real distance curve. The reconstructed line-of-sight measurements can be obtained by moving down the curve. The simulation results prove that the algorithm is better than traditional extended Kalman filter (EKF) and Wylie algorithm. Copyright © 2021 Inderscience Enterprises Ltd.

引用

页码：98 / 104

页数：6

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