MOBILE LOCALIZATION AND TRACKING WITH LOS AND NLOS IDENTIFICATION IN WIRELESS SENSOR NETWORKS

被引：0
|
作者：
Benkouider, Y. K. [1 ]
Keche, M. [1 ]
机构：
[1] Univ Sci & Technol USTO MB, LSI Lab, Dept Elect, BP 1505, Bir El Djir 31000, Oran, Algeria
来源：
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS | 2016年 / 9卷 / 02期
关键词：
Localization; Tracking; Wireless Sensor Network; Non Line of Sight; Divided Difference Kalman Filter; Unscented Kalman Filter; Bias estimation; Hypothesis testing;
D O I：
10.21307/ijssis-2017-907
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used jointly with the nonlinear filter to estimate the bias due to the Non-Line Of Sight (NLOS) effect and a low complexity method for Line Of Sight (LOS) and NLOS identification. Based on hypothesis testing, this method discriminates between the LOS and NLOS situations using a sequence of estimated biases. Simulation results show that the proposed method provides good positioning accuracy.
引用
收藏
页码：1054 / 1072
页数：19
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