A hybrid indoor/outdoor detection approach for smartphone-based seamless positioning

نویسندگان

چکیده

Abstract Indoor/Outdoor (IO) detection (IOD) using Wi-Fi- and smartphone-based technologies is in high demand interest both the industrial research fields. This paper proposes a novel effective hybrid IOD (HIOD) approach for detecting smartphone user's IO location. The HIOD uses signals received from Wi-Fi GPS as well latest positioning such multilateration, fingerprinting machine learning. implements two-level signal-to-noise ratio (SNR) threshold parameters first time, which are specifically derived through 42 empirical tests at seven test sites with adequate environmental factors considered. Using newly set of rules, then tested 20 points (TPs) city canyon area, where most TPs under semi-indoor or semi-outdoor conditions. final results show that 100% rate achieved.

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ژورنال

عنوان ژورنال: Journal of Navigation

سال: 2022

ISSN: ['1469-7785', '0373-4633']

DOI: https://doi.org/10.1017/s0373463322000194