A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOSNLOS Environments
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Wireless sensor network (WSN) is a self-organizing network which is composed of a large number of cheap microsensor nodes deployed in the monitoring area and formed by wireless communication.
Since it has the characteristics of rapid deployment and strong resistance to destruction, the WSN positioning technology has a wide application prospect.
In WSN positioning, the nonline of sight (NLOS) is a very common phenomenon affecting accuracy.
In this paper, we propose a NLOS correction method algorithm base on the time of arrival (TOA) to solve the NLOS problem.
We firstly propose a tendency amendment algorithm in order to correct the NLOS error in geometry.
Secondly, this paper propose a particle selection strategy to select the standard deviation of the particle swarm as the basis of evolution and combine the genetic evolution algorithm, the particle filter algorithm, and the unscented Kalman filter (UKF) algorithm.
At the same time, we apply orthogon theory to the UKF to make it have the ability to deal with the target trajectory mutation.
Finally we use maximum likelihood localization (ML) to determine the position of the mobile node (MN).
The simulation and experimental results show that the proposed algorithm can perform better than the extend Kalman filter (EKF), Kalman filter (KF), and robust interactive multiple model (RIMM).
American Psychological Association (APA)
Yong Kang, Ou& Long, Cheng. 2020. A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOSNLOS Environments. Journal of Sensors،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1190653
Modern Language Association (MLA)
Yong Kang, Ou& Long, Cheng. A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOSNLOS Environments. Journal of Sensors No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1190653
American Medical Association (AMA)
Yong Kang, Ou& Long, Cheng. A Robust Indoor Mobile Localization Algorithm for Wireless Sensor Network in Mixed LOSNLOS Environments. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1190653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190653