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Statistical path loss parameter estimation and positioning using RSS measurements

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

Julkaisun otsikon käännösStatistical path loss parameter estimation and positioning using RSS measurements
AlkuperäiskieliEnglanti
OtsikkoUbiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS, 3-4 October 2012, Helsinki
JulkaisupaikkaPiscataway, NJ
KustantajaIEEE
Sivut1-8
Sivumäärä8
ISBN (elektroninen)978-1-4673-1909-6
ISBN (painettu)978-1-4673-1908-9
DOI - pysyväislinkit
TilaJulkaistu - 2012
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa

Julkaisusarja

NimiUbiquitous Positioning, Indoor Navigation and Location-Based Services

Tiivistelmä

An efficient Bayesian method for off-line estimation of the position and the path loss model parameters of a base station is presented. Two versions of three different on-line positioning methods are tested using real data collected from a cellular network. The tests confirm the superiority of the methods that use the estimated path loss parameter distributions compared to the conventional methods that only use point estimates for the path loss parameters. Taking the uncertainties into account is computationally demanding, but the Gauss–Newton optimization methods is shown to provide a good approximation with computational load that is reasonable for many real-time solutions.

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