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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Main Authors | , |
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Format | Patent |
Language | English French German |
Published |
25.05.2005
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Edition | 7 |
Subjects | |
Online Access | Get full text |
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Abstract | 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. |
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AbstractList | 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. |
Author | MYLLYMAEKI, PETRI MISIKANGAS, PAULI |
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Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | TECHNIQUE DE POSITIONNEMENT A BASE DE SUITE AUF SEQUENZEN BASIERENDE POSITIONIERUNGSTECHNIK |
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Snippet | 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... |
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SubjectTerms | ANALOGOUS ARRANGEMENTS USING OTHER WAVES DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS |
Title | SEQUENCE-BASED POSITIONING TECHNIQUE |
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