Hybrid indoor location positioning system | Zendy

Li Shuo | Zendy; Rashidzadeh Rashid | Zendy

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Hybrid indoor location positioning system

Author(s) -

Li Shuo,

Rashidzadeh Rashid

Publication year - 2019

Publication title -

iet wireless sensor systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.433

H-Index - 27

ISSN - 2043-6394

DOI - 10.1049/iet-wss.2018.5237

Subject(s) - rss , hybrid positioning system , non line of sight propagation , computer science , indoor positioning system , robustness (evolution) , positioning system , real time computing , signal strength , wireless , telecommunications , acoustics , gene , biochemistry , chemistry , physics , accelerometer , node (physics) , operating system

Indoor location positioning techniques have experienced a significant growth in recent years. This work presents a hybrid indoor positioning system with fine and coarse modes. It utilises acoustic signals for fine positioning and received signal strength (RSS) for coarse location estimation. Acoustic positioning systems require a line‐of‐sight connection for accurate positioning which may not be available due to obstacles in indoor environments. A new solution is presented to overcome this problem using RSS as a reference to validate the line‐of‐sight connection. Moreover, a new digital signal processing algorithm using a matched filter is presented to enhance the system's robustness in indoor environments with low a signal‐to‐noise ratio. Experimental measurement results in an indoor environment show that the proposed solution can accurately determine indoor locations with <6 cm positioning error on average.

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