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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6111935 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cuiyansong prgadistancemeasurementalgorithmbasedonphaseregeneration AT zhudi prgadistancemeasurementalgorithmbasedonphaseregeneration AT liuyanxu prgadistancemeasurementalgorithmbasedonphaseregeneration |