A survey on fusion-based indoor positioning
Document Type
Article
Publication Date
1-1-2020
Abstract
Demands for indoor positioning based services (IPS) in commercial and military fields have spurred many positioning systems and techniques. Complex electromagnetic environments (CEEs) may, however, degenerate the accuracy and robustness of some existing single systems and techniques. To overcome this drawback, fusion-based positioning of multiple systems and/or techniques have been proposed to revamp the positioning performance in CEEs. In this paper, we survey the fusion-based indoor positioning techniques and systems from seminal works to elicit the state of the art within our proposed unified fusion-based positioning framework, which consists of three fusion characteristics: source, algorithm, and weight spaces. Different from other surveys, this survey summarizes and analyzes the existing fusion-based positioning systems and techniques from three characteristics. Meanwhile, discussions in terms of lessons, challenges, and countermeasures are also presented. This survey is invaluable for researchers to acquire a clear concept of indoor fusion-based positioning systems and techniques and also to gain insights from this survey to further develop other advanced fusion-based positioning systems and techniques in the future.
Identifier
85074599324 (Scopus)
Publication Title
IEEE Communications Surveys and Tutorials
External Full Text Location
https://doi.org/10.1109/COMST.2019.2951036
e-ISSN
1553877X
First Page
566
Last Page
594
Issue
1
Volume
22
Grant
2018JY0218
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Guo, Xiansheng; Ansari, Nirwan; Hu, Fangzi; Shao, Yuan; Elikplim, Nkrow Raphael; and Li, Lin, "A survey on fusion-based indoor positioning" (2020). Faculty Publications. 5738.
https://digitalcommons.njit.edu/fac_pubs/5738
