A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network
Joint Authors
Yan, Yang
Li, Zhengjian
Cheng, Chenglong
Wang, Yan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-07
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
The main factor affecting the localization accuracy is nonline of sight (NLOS) error which is caused by the complicated indoor environment such as obstacles and walls.
To obviously alleviate NLOS effects, a polynomial fitting-based adjusted Kalman filter (PF-AKF) method in a wireless sensor network (WSN) framework is proposed in this paper.
The method employs polynomial fitting to accomplish both NLOS identification and distance prediction.
Rather than employing standard deviation of all historical data as NLOS detection threshold, the proposed method identifies NLOS via deviation between fitted curve and measurements.
Then, it processes the measurements with adjusted Kalman filter (AKF), conducting weighting filter in the case of NLOS condition.
Simulations compare the proposed method with Kalman filter (KF), adjusted Kalman filter (AKF), and Kalman-based interacting multiple model (K-IMM) algorithms, and the results demonstrate the superior performance of the proposed method.
Moreover, experimental results obtained from a real indoor environment validate the simulation results.
American Psychological Association (APA)
Wang, Yan& Yan, Yang& Li, Zhengjian& Cheng, Chenglong. 2020. A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network. Journal of Sensors،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1190501
Modern Language Association (MLA)
Wang, Yan…[et al.]. A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network. Journal of Sensors No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1190501
American Medical Association (AMA)
Wang, Yan& Yan, Yang& Li, Zhengjian& Cheng, Chenglong. A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1190501
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190501