An Improved Particle Filter Algorithm for Geomagnetic Indoor Positioning
Joint Authors
Gao, Yang
Qiu, Dongwei
Huang, He
Luo, Dean
Li, Wei
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Geomagnetic indoor positioning is an attractive indoor positioning technology due to its infrastructure-free feature.
In the matching algorithm for geomagnetic indoor localization, the particle filter has been the most widely used.
The algorithm however often suffers filtering divergence when there is continuous variation of the indoor magnetic distribution.
The resampling step in the process of implementation would make the situation even worse, which directly lead to the loss of indoor positioning solution.
Aiming at this problem, we have proposed an improved particle filter algorithm based on initial positioning error constraint, inspired by the Hausdorff distance measurement point set matching theory.
Since the operating range of the particle filter cannot exceed the magnitude of the initial positioning error, it avoids the adverse effect of sampling particles with the same magnetic intensity but away from the target during the iteration process on the positioning system.
The effectiveness and reliability of the improved algorithm are verified by experiments.
American Psychological Association (APA)
Huang, He& Li, Wei& Luo, Dean& Qiu, Dongwei& Gao, Yang. 2018. An Improved Particle Filter Algorithm for Geomagnetic Indoor Positioning. Journal of Sensors،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1201649
Modern Language Association (MLA)
Huang, He…[et al.]. An Improved Particle Filter Algorithm for Geomagnetic Indoor Positioning. Journal of Sensors No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1201649
American Medical Association (AMA)
Huang, He& Li, Wei& Luo, Dean& Qiu, Dongwei& Gao, Yang. An Improved Particle Filter Algorithm for Geomagnetic Indoor Positioning. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1201649
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201649