Gaussian mixture filter allowing negative weights and its application to positioning using signal strength measurements

Julkaisun otsikon käännös: Gaussian mixture filter allowing negative weights and its application to positioning using signal strength measurements

Philipp Muller, Simo Ali-Löytty, Marzieh Dashti, Henri Nurminen, Robert Piche

    Tutkimustuotos: KonferenssiartikkeliScientificvertaisarvioitu

    7 Sitaatiot (Scopus)
    35 Lataukset (Pure)

    Abstrakti

    This paper proposes a novel Gaussian Mixture Filter (GMF) that allows components with negative weights. In case of a ring-shaped likelihood function, the new filter keeps the number of components low by approximating the likelihood as a Gaussian mixture (GM) of two components, one with positive and the other with negative weight. In this article, the filter is applied to positioning with received signal strength (RSS) based range measurements. The filter is tested using simulated measurements, and the tests indicate that the new GMF outperforms the Extended Kalman Filter (EKF) in both accuracy and consistency.
    Julkaisun otsikon käännösGaussian mixture filter allowing negative weights and its application to positioning using signal strength measurements
    AlkuperäiskieliEnglanti
    OtsikkoProceedings of WPNC 2012, 9th Workshop on Positioning, Navigation and Communication, March 15-16, 2012, Dresden, Germany
    JulkaisupaikkaPiscataway, NJ
    Sivut71-76
    DOI - pysyväislinkit
    TilaJulkaistu - 2012
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa

    Julkaisusarja

    NimiWorkshop on Positioning, Navigation and Communication

    Julkaisufoorumi-taso

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