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 in | GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference pp. 1 - 5 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
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. |
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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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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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