A Survey of Parametric Fingerprint-Positioning Methods

Philipp Müller, Matti Raitoharju, Simo Ali-Löytty, Laura Wirola, Robert Piche

    Research output: Contribution to journalReview Articlepeer-review

    8 Citations (Scopus)
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    Abstract

    The term fingerprint-based (FP) positioning includes a wide variety of methods for determining a receiver’s position using a database of radio signal strength measurements that were collected earlier at known locations. Nonparametric methods such as the weighted k-nearest neighbor (WKNN) method are infeasible for large-scale mobile device services because of the large data storage and transmission requirements. In this work we present an overview of parametric FP methods that use model-based representations of the survey data. We look at three different groups of parametric methods: methods that use coverage areas, methods that use path loss models, and methods that use Gaussian mixtures. Within each group we study different approaches and discuss their pros and cons. Furthermore, we test the positioning performance of several of the analyzed approaches in different scenarios using real-world WLAN indoor data and compare the results to those of the WKNN method.
    Original languageEnglish
    Pages (from-to)107-127
    Number of pages21
    JournalGyroscopy and Navigation
    Volume7
    Issue number2
    DOIs
    Publication statusPublished - 2016
    Publication typeA2 Review article in a scientific journal

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    • Publication forum level 1

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