Peer-to-peer non-line-of-sight localization in multipath environment
Current localization schemes are able to locate a mobile device using Time-of- Arrival (TOA) and Angle-of-Arrival (AOA) information measured at both the mobile device and reference device. This information is used to derive line of possible mobile device position (LPMD). The intersection points of L...
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sg-ntu-dr.10356-1049552019-12-06T21:43:26Z Peer-to-peer non-line-of-sight localization in multipath environment Wen, Kai Seow, Chee Kiat Chen, Si Wen School of Electrical and Electronic Engineering Progress in Electromagnetics Research Symposium, PIERS 2012 Kuala Lumpur DRNTU::Engineering::Electrical and electronic engineering Current localization schemes are able to locate a mobile device using Time-of- Arrival (TOA) and Angle-of-Arrival (AOA) information measured at both the mobile device and reference device. This information is used to derive line of possible mobile device position (LPMD). The intersection points of LPMDs are used to estimate mobile position. However these algorithms do not work well in a dense multipath environment with high level of TOA and AOA noises. In addition, these techniques require at least two paths to locate the mobile position. This paper presents novel methods to find the area of mobile device position and a least square estimator is constructed to find the centroid of mobile position. Furthermore, the proposed technique is able to determine mobile device using one LOS path. Simulation results show that our proposed scheme outperforms previous bidirectional localization schemes by a significant margin especially at high levels of TOA and AOA measurement noise. Published version 2015-01-22T03:05:10Z 2019-12-06T21:43:26Z 2015-01-22T03:05:10Z 2019-12-06T21:43:26Z 2012 2012 Conference Paper Chen, S. W., Seow, C. K., & Wen, K. (2012). Chen, S. W., Seow, C. K., & Wen, K. (2012). Peer-to-peer non-line-of-sight localization in multipath environment. Progress in Electromagnetics Research Symposium, 878-887. https://hdl.handle.net/10356/104955 http://hdl.handle.net/10220/24717 https://piers.org/piersproceedings/download.php?file=cGllcnMyMDEyS3VhbGFMdW1wdXJ8MlA1XzA4NzgucGRmfDExMDkyMDAzNTYzOA== en © 2012 Progress in Electromagnetics Research Symposium(PIERS) Committee. This paper was published in Progress in Electromagnetics Research Symposium and is made available as an electronic reprint (preprint) with permission of Progress in Electromagnetics Research Symposium(PIERS) Committee. The paper can be found at the following official URL: [https://piers.org/piersproceedings/download.php?file=cGllcnMyMDEyS3VhbGFMdW1wdXJ8MlA1XzA4NzgucGRmfDExMDkyMDAzNTYzOA==]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Wen, Kai Seow, Chee Kiat Chen, Si Wen Peer-to-peer non-line-of-sight localization in multipath environment |
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Current localization schemes are able to locate a mobile device using Time-of- Arrival (TOA) and Angle-of-Arrival (AOA) information measured at both the mobile device and reference device. This information is used to derive line of possible mobile device position (LPMD). The intersection points of LPMDs are used to estimate mobile position. However these algorithms do not work well in a dense multipath environment with high level of TOA and AOA noises. In addition, these techniques require at least two paths to locate the mobile position. This paper presents novel methods to find the area of mobile device position and a least square estimator is constructed to find the centroid of mobile position. Furthermore, the proposed technique is able to determine mobile device using one LOS path. Simulation results show that our proposed scheme outperforms previous bidirectional localization schemes by a significant margin especially at high levels of TOA and AOA measurement noise. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Wen, Kai Seow, Chee Kiat Chen, Si Wen |
format |
Conference or Workshop Item |
author |
Wen, Kai Seow, Chee Kiat Chen, Si Wen |
author_sort |
Wen, Kai |
title |
Peer-to-peer non-line-of-sight localization in multipath environment |
title_short |
Peer-to-peer non-line-of-sight localization in multipath environment |
title_full |
Peer-to-peer non-line-of-sight localization in multipath environment |
title_fullStr |
Peer-to-peer non-line-of-sight localization in multipath environment |
title_full_unstemmed |
Peer-to-peer non-line-of-sight localization in multipath environment |
title_sort |
peer-to-peer non-line-of-sight localization in multipath environment |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/104955 http://hdl.handle.net/10220/24717 https://piers.org/piersproceedings/download.php?file=cGllcnMyMDEyS3VhbGFMdW1wdXJ8MlA1XzA4NzgucGRmfDExMDkyMDAzNTYzOA== |
_version_ |
1681046005571649536 |