Open AccessSurvey of CSI fingerprinting‐based indoor positioning and mobility tracking systems
Author(s) -
Rocamora Josyl Mariela,
WangHei Ho Ivan,
Mak WanMai,
Lau Alan PakTao
Publication year - 2020
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2020.0028
Subject(s) - computer science , fingerprint (computing) , subcarrier , channel state information , multipath propagation , antenna diversity , indoor positioning system , fingerprint recognition , tracking (education) , global positioning system , diversity scheme , real time computing , wireless , artificial intelligence , telecommunications , channel (broadcasting) , fading , orthogonal frequency division multiplexing , accelerometer , operating system , psychology , pedagogy
Techniques for indoor positioning systems (IPSs) can be categorised as range‐based or range‐free. Range‐based methods rely on geometric mappings to approximate a location given the calculated distances or angles from multiple reference points. In contrast, range‐free strategies utilise fingerprinting, wherein an acquired fingerprint data is compared to a pre‐collected dataset to identify the best position estimate. Among these, fingerprinting of channel state information (CSI) is preferred over other information such as received signal strength indicator as the former can exploit the effect of multipath propagation and is robust against non‐line‐of‐sight channels. CSI has the potential to achieve cm‐level positioning accuracy with a single reference point only. In this study, the authors survey CSI fingerprinting‐based indoor positioning and mobility tracking systems. The process of fingerprinting that includes site surveying and signal preprocessing is discussed in detail. They determine the potential challenges of such systems and propose remedies to improve positioning accuracy. In general, spatial diversity, such as multiple‐input multiple‐output antennas and wireless sensor networks, or frequency diversity (e.g. high subcarrier count, frequency hopping mechanism) are exploited to achieve high positioning resolution. Such IPS can also be enhanced via additional sensors or spatial graphs for motion detection and tracking.