A regression model-based method for indoor positioning with compound location fingerprints

A regression model-based method for indoor positioning with compound location fingerprints

This paper proposed and evaluated an estimation method for indoor positioning. The method combines location fingerprinting and dead reckoning differently from the conventional combinations. It uses compound location fingerprints, which are composed of radio fingerprints at multiple points of time, t...

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Bibliographic Details
Main Authors: Tomofumi Takayama, Takeshi Umezawa, Nobuyoshi Komuro, Noritaka Osawa
Format: Article
Language:English
Published: Taylor & Francis Group 2019-04-01
Series:Geo-spatial Information Science
Subjects:
Indoor positioning
integrated estimation
radio fingerprinting
dead reckoning
machine learning
non-linear regression
Online Access:http://dx.doi.org/10.1080/10095020.2019.1612599

Internet

http://dx.doi.org/10.1080/10095020.2019.1612599

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