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PRG: A Distance Measurement Algorithm Based on Phase Regeneration

With the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneratio...

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Detalles Bibliográficos
Autores principales: Cui, Yansong, Zhu, Di, Liu, Yanxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111935/
https://www.ncbi.nlm.nih.gov/pubmed/30096778
http://dx.doi.org/10.3390/s18082595
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author Cui, Yansong
Zhu, Di
Liu, Yanxu
author_facet Cui, Yansong
Zhu, Di
Liu, Yanxu
author_sort Cui, Yansong
collection PubMed
description With the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneration that can provide positioning capability for IoT applications in indoor and outdoor environments. The PRG algorithm consists of two phases: coarse ranging phase and fine ranging phase. Fingerprint positioning algorithm based on Gradient Boost Decision Tree (GBDT) is used to determine coarse distance. The host machine measures the difference between the transmitted carrier phase and the received regenerative carrier phase to fix the fine distance and then the coarse distance is used to determine the carrier phase integer ambiguity. Finally, high precision ranging is realized. Simulation results show that the PRG method can achieve range finding with decimeter level precision under the 10 MHz subcarrier frequency.
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spelling pubmed-61119352018-08-30 PRG: A Distance Measurement Algorithm Based on Phase Regeneration Cui, Yansong Zhu, Di Liu, Yanxu Sensors (Basel) Article With the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneration that can provide positioning capability for IoT applications in indoor and outdoor environments. The PRG algorithm consists of two phases: coarse ranging phase and fine ranging phase. Fingerprint positioning algorithm based on Gradient Boost Decision Tree (GBDT) is used to determine coarse distance. The host machine measures the difference between the transmitted carrier phase and the received regenerative carrier phase to fix the fine distance and then the coarse distance is used to determine the carrier phase integer ambiguity. Finally, high precision ranging is realized. Simulation results show that the PRG method can achieve range finding with decimeter level precision under the 10 MHz subcarrier frequency. MDPI 2018-08-08 /pmc/articles/PMC6111935/ /pubmed/30096778 http://dx.doi.org/10.3390/s18082595 Text en © 2018 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
Cui, Yansong
Zhu, Di
Liu, Yanxu
PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title_full PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title_fullStr PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title_full_unstemmed PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title_short PRG: A Distance Measurement Algorithm Based on Phase Regeneration
title_sort prg: a distance measurement algorithm based on phase regeneration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111935/
https://www.ncbi.nlm.nih.gov/pubmed/30096778
http://dx.doi.org/10.3390/s18082595
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