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Improvement Schemes for Indoor Mobile Location Estimation: A Survey
Joint Authors
Shang, Jianga
Hu, Xuke
Gu, Fuqiang
Wang, Di
Yu, Shengsheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-32, 32 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-05
Country of Publication
Egypt
No. of Pages
32
Main Subjects
Abstract EN
Location estimation is significant in mobile and ubiquitous computing systems.
The complexity and smaller scale of the indoor environment impose a great impact on location estimation.
The key of location estimation lies in the representation and fusion of uncertain information from multiple sources.
The improvement of location estimation is a complicated and comprehensive issue.
A lot of research has been done to address this issue.
However, existing research typically focuses on certain aspects of the problem and specific methods.
This paper reviews mainstream schemes on improving indoor location estimation from multiple levels and perspectives by combining existing works and our own working experiences.
Initially, we analyze the error sources of common indoor localization techniques and provide a multilayered conceptual framework of improvement schemes for location estimation.
This is followed by a discussion of probabilistic methods for location estimation,including Bayes filters, Kalman filters, extended Kalman filters, sigma-point Kalman filters, particle filters, and hidden Markov models.
Then, we investigate the hybrid localization methods, including multimodal fingerprinting, triangulation fusing multiple measurements, combination of wireless positioning with pedestrian dead reckoning (PDR), and cooperative localization.
Next, we focus onthe location determination approaches that fuse spatial contexts, namely, map matching, landmark fusion, and spatial model-aided methods.
Finally, we present the directions for future research.
American Psychological Association (APA)
Shang, Jianga& Hu, Xuke& Gu, Fuqiang& Wang, Di& Yu, Shengsheng. 2015. Improvement Schemes for Indoor Mobile Location Estimation: A Survey. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-32.
https://search.emarefa.net/detail/BIM-1073735
Modern Language Association (MLA)
Shang, Jianga…[et al.]. Improvement Schemes for Indoor Mobile Location Estimation: A Survey. Mathematical Problems in Engineering No. 2015 (2015), pp.1-32.
https://search.emarefa.net/detail/BIM-1073735
American Medical Association (AMA)
Shang, Jianga& Hu, Xuke& Gu, Fuqiang& Wang, Di& Yu, Shengsheng. Improvement Schemes for Indoor Mobile Location Estimation: A Survey. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-32.
https://search.emarefa.net/detail/BIM-1073735
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073735