Affiliation:
1. School of Computer Science & Technology, Huazhong University of Science, Wuhan 430074, China
2. Faculty of Information Engineering, China University of Geosciences, Wuhan 430074, China
3. National Engineering Research Center for Geographic Information System, Wuhan 430074, China
4. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA
Abstract
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 on the 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.
Funder
National Natural Science Foundation of China
Subject
General Engineering,General Mathematics
Cited by
44 articles.
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