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Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue
To satisfy the service requirements of high accuracy and efficient life detection and location for search and rescue (SAR) missions after a disaster, we developed a passive positioning method to locate mobile phones by capturing the random access preamble, which can be applied to fourth-generation (...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832252/ https://www.ncbi.nlm.nih.gov/pubmed/31627480 http://dx.doi.org/10.3390/s19204526 |
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author | Gao, Yuhui Deng, Zhongliang Zhang, Yao Sun, Shihua Li, Zhen |
author_facet | Gao, Yuhui Deng, Zhongliang Zhang, Yao Sun, Shihua Li, Zhen |
author_sort | Gao, Yuhui |
collection | PubMed |
description | To satisfy the service requirements of high accuracy and efficient life detection and location for search and rescue (SAR) missions after a disaster, we developed a passive positioning method to locate mobile phones by capturing the random access preamble, which can be applied to fourth-generation (4G) and even fifth-generation (5G) communication systems. We analyzed the characteristics of the random access procedure of a communication system and established a way to detect mobile phones by combining the time-difference-of-arrival (TDOA) estimation to determine the location. Then, we performed an experiment and a simulation of preamble sequence acquisition, and the results proved that the method is feasible and has high detection accuracy in high-noise conditions. |
format | Online Article Text |
id | pubmed-6832252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68322522019-11-21 Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue Gao, Yuhui Deng, Zhongliang Zhang, Yao Sun, Shihua Li, Zhen Sensors (Basel) Article To satisfy the service requirements of high accuracy and efficient life detection and location for search and rescue (SAR) missions after a disaster, we developed a passive positioning method to locate mobile phones by capturing the random access preamble, which can be applied to fourth-generation (4G) and even fifth-generation (5G) communication systems. We analyzed the characteristics of the random access procedure of a communication system and established a way to detect mobile phones by combining the time-difference-of-arrival (TDOA) estimation to determine the location. Then, we performed an experiment and a simulation of preamble sequence acquisition, and the results proved that the method is feasible and has high detection accuracy in high-noise conditions. MDPI 2019-10-17 /pmc/articles/PMC6832252/ /pubmed/31627480 http://dx.doi.org/10.3390/s19204526 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gao, Yuhui Deng, Zhongliang Zhang, Yao Sun, Shihua Li, Zhen Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title | Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title_full | Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title_fullStr | Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title_full_unstemmed | Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title_short | Mobile Phone Passive Positioning through the Detection of Uplink Signals for Search and Rescue |
title_sort | mobile phone passive positioning through the detection of uplink signals for search and rescue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832252/ https://www.ncbi.nlm.nih.gov/pubmed/31627480 http://dx.doi.org/10.3390/s19204526 |
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