A mobile localization strategy for wireless sensor network in NLOS conditions

2016 ◽  
Vol 13 (10) ◽  
pp. 69-78 ◽  
Author(s):  
Long Cheng ◽  
Yan Wang ◽  
Xingming Sun ◽  
Nan Hu ◽  
Jian Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Mobile Localization ◽  
Localization Strategy

scholarly journals Mean Shift-Based Mobile Localization Method in Mixed LOS/NLOS Environments for Wireless Sensor Network

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaosheng Yu ◽  
Peng Ji ◽  
Ying Wang ◽  
Hao Chu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mean Shift ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Localization Method ◽  
Mean Shift Algorithm ◽  
Mobile Localization ◽  
Significant Research ◽  
The Mean

Mobile localization estimation is a significant research topic in the fields of wireless sensor network (WSN), which is of concern greatly in the past decades. Non-line-of-sight (NLOS) propagation seriously decreases the positioning accuracy if it is not considered when the mobile localization algorithm is designed. NLOS propagation has been a serious challenge. This paper presents a novel mobile localization method in order to overcome the effects of NLOS errors by utilizing the mean shift-based Kalman filter. The binary hypothesis is firstly carried out to detect the measurements which contain the NLOS errors. For NLOS propagation condition, mean shift algorithm is utilized to evaluate the means of the NLOS measurements and the data association method is proposed to mitigate the NLOS errors. Simulation results show that the proposed method can provide higher location accuracy in comparison with some traditional methods.

Sign in / Sign up

Export Citation Format

Share Document