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RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones
Real-time kinematic (RTK) technique is widely used in modern society because of its high accuracy and real-time positioning. The appearance of Android P and the application of BCM47755 chipset make it possible to use single-frequency RTK and dual-frequency RTK on smartphones. The Xiaomi Mi 8 is the...
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/PMC6679541/ https://www.ncbi.nlm.nih.gov/pubmed/31336694 http://dx.doi.org/10.3390/s19143228 |
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author | Niu, Zun Nie, Ping Tao, Lin Sun, Junren Zhu, Bocheng |
author_facet | Niu, Zun Nie, Ping Tao, Lin Sun, Junren Zhu, Bocheng |
author_sort | Niu, Zun |
collection | PubMed |
description | Real-time kinematic (RTK) technique is widely used in modern society because of its high accuracy and real-time positioning. The appearance of Android P and the application of BCM47755 chipset make it possible to use single-frequency RTK and dual-frequency RTK on smartphones. The Xiaomi Mi 8 is the first dual-frequency Global Navigation Satellite System (GNSS) smartphone equipped with BCM47755 chipset. However, the performance of RTK in urban areas is much poorer compared with its performance under the open sky because the satellite signals can be blocked by the buildings and trees. RTK can’t provide the positioning results in some specific areas such as the urban canyons and the crossings under an overpass. This paper combines RTK with an IMU-based pedestrian navigation algorithm. We utilize attitude and heading reference system (AHRS) algorithm and zero velocity update (ZUPT) algorithm based on micro electro mechanical systems (MEMS) inertial measurement unit (IMU) in smartphones to assist RTK for the sake of improving positioning performance in urban areas. Some tests are carried out to verify the performance of RTK on the Xiaomi Mi 8 and we respectively assess the performances of RTK with and without the assistance of an IMU-based pedestrian navigation algorithm in urban areas. Results on actual tests show RTK with the assistance of an IMU-based pedestrian navigation algorithm is more robust and adaptable to complex environments than that without it. |
format | Online Article Text |
id | pubmed-6679541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66795412019-08-19 RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones Niu, Zun Nie, Ping Tao, Lin Sun, Junren Zhu, Bocheng Sensors (Basel) Article Real-time kinematic (RTK) technique is widely used in modern society because of its high accuracy and real-time positioning. The appearance of Android P and the application of BCM47755 chipset make it possible to use single-frequency RTK and dual-frequency RTK on smartphones. The Xiaomi Mi 8 is the first dual-frequency Global Navigation Satellite System (GNSS) smartphone equipped with BCM47755 chipset. However, the performance of RTK in urban areas is much poorer compared with its performance under the open sky because the satellite signals can be blocked by the buildings and trees. RTK can’t provide the positioning results in some specific areas such as the urban canyons and the crossings under an overpass. This paper combines RTK with an IMU-based pedestrian navigation algorithm. We utilize attitude and heading reference system (AHRS) algorithm and zero velocity update (ZUPT) algorithm based on micro electro mechanical systems (MEMS) inertial measurement unit (IMU) in smartphones to assist RTK for the sake of improving positioning performance in urban areas. Some tests are carried out to verify the performance of RTK on the Xiaomi Mi 8 and we respectively assess the performances of RTK with and without the assistance of an IMU-based pedestrian navigation algorithm in urban areas. Results on actual tests show RTK with the assistance of an IMU-based pedestrian navigation algorithm is more robust and adaptable to complex environments than that without it. MDPI 2019-07-22 /pmc/articles/PMC6679541/ /pubmed/31336694 http://dx.doi.org/10.3390/s19143228 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 Niu, Zun Nie, Ping Tao, Lin Sun, Junren Zhu, Bocheng RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title | RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title_full | RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title_fullStr | RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title_full_unstemmed | RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title_short | RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones |
title_sort | rtk with the assistance of an imu-based pedestrian navigation algorithm for smartphones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679541/ https://www.ncbi.nlm.nih.gov/pubmed/31336694 http://dx.doi.org/10.3390/s19143228 |
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