SEQUENCE-BASED POSITIONING TECHNIQUE

A target device's location is estimated by a location estimation module (LEM) that comprises a probabilistic model (PM) for a plurality of sample points, each of which comprises a sample location and an expected distribution of signal values at that sample point. The location estimation module...

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Bibliographic Details
Main Authors MYLLYMAEKI, PETRI, MISIKANGAS, PAULI
Format Patent
LanguageEnglish
French
German
Published 25.05.2005
Edition7
Subjects
Online AccessGet full text

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Summary:A target device's location is estimated by a location estimation module (LEM) that comprises a probabilistic model (PM) for a plurality of sample points, each of which comprises a sample location and an expected distribution of signal values at that sample point. The location estimation module (LEM) makes a sequence (OS) of observations on, n=1, 2, 3 . . . , of signal values. Each observation corresponds to a respective location qn along the target device's path. The sequence of observations and the respective location constitute a hidden Markov model. The module estimates the target device's location qn based on the probabilistic model (PM) and the sequence of observations, wherein the sequence of observations comprises one or more future observations on+m for which m is a positive integer. In other words, the target device's location is estimated, at least partially, based on knowledge of its future.
Bibliography:Application Number: EP20030730249