A Novel Fingerprint Location Method Using Ray-Tracing

Mobile location estimation via the use of a spatially-dependent signal database is of growing importance. However, this location estimation method usually requires an a priori experimental measurement campaign. To overcome this drawback we propose here a new method of location estimation via the rea...

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Published inGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference pp. 1 - 5
Main Authors Maher, P.S., Malaney, R.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
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Abstract Mobile location estimation via the use of a spatially-dependent signal database is of growing importance. However, this location estimation method usually requires an a priori experimental measurement campaign. To overcome this drawback we propose here a new method of location estimation via the real-time creation of a virtual signal database. The virtual database is created on-demand by an optimized ray-tracing algorithm embedded on the user device. We explore how the creation of the virtual database can be optimized so as to determine the required location at the lowest time-to-fix. Our results demonstrate that in current 3G cellular mobile systems, and using current mobile phone hardware, sub-50 m accuracy can be achieved in less than a few seconds. Our work shows that accurate real-time location estimation via user embedded ray tracing is now viable and can lead to more accurate solutions in a range of circumstances.
AbstractList Mobile location estimation via the use of a spatially-dependent signal database is of growing importance. However, this location estimation method usually requires an a priori experimental measurement campaign. To overcome this drawback we propose here a new method of location estimation via the real-time creation of a virtual signal database. The virtual database is created on-demand by an optimized ray-tracing algorithm embedded on the user device. We explore how the creation of the virtual database can be optimized so as to determine the required location at the lowest time-to-fix. Our results demonstrate that in current 3G cellular mobile systems, and using current mobile phone hardware, sub-50 m accuracy can be achieved in less than a few seconds. Our work shows that accurate real-time location estimation via user embedded ray tracing is now viable and can lead to more accurate solutions in a range of circumstances.
Author Malaney, R.A.
Maher, P.S.
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  organization: Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
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Snippet Mobile location estimation via the use of a spatially-dependent signal database is of growing importance. However, this location estimation method usually...
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SubjectTerms Australia
Base stations
Earth
Fingerprint recognition
Hardware
Helium
Mobile handsets
Ray tracing
Spatial databases
Time measurement
Title A Novel Fingerprint Location Method Using Ray-Tracing
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