Mean Shift-Based Mobile Localization Method in Mixed LOSNLOS Environments for Wireless Sensor Network
Joint Authors
Yu, Xiaosheng
Ji, Peng
Wang, Ying
Chu, Hao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Xiaosheng& Ji, Peng& Wang, Ying& Chu, Hao. 2017. Mean Shift-Based Mobile Localization Method in Mixed LOSNLOS Environments for Wireless Sensor Network. Journal of Sensors،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187077
Modern Language Association (MLA)
Yu, Xiaosheng…[et al.]. Mean Shift-Based Mobile Localization Method in Mixed LOSNLOS Environments for Wireless Sensor Network. Journal of Sensors No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1187077
American Medical Association (AMA)
Yu, Xiaosheng& Ji, Peng& Wang, Ying& Chu, Hao. Mean Shift-Based Mobile Localization Method in Mixed LOSNLOS Environments for Wireless Sensor Network. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187077
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187077