Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model
For long baseline in a network, the traditional combined ionosphere-free (IF) + wide-lane (WL) strategy is commonly used, but the residual tropospheric delays and larger noise hamper the basic ambiguity resolution (AR). With the completion of the BeiDou global navigation satellite system (BDS-3) and...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/7/1654 |
_version_ | 1827622638351024128 |
---|---|
author | Ruicheng Zhang Chengfa Gao Zhibin Wang Qing Zhao Rui Shang Zihan Peng Qi Liu |
author_facet | Ruicheng Zhang Chengfa Gao Zhibin Wang Qing Zhao Rui Shang Zihan Peng Qi Liu |
author_sort | Ruicheng Zhang |
collection | DOAJ |
description | For long baseline in a network, the traditional combined ionosphere-free (IF) + wide-lane (WL) strategy is commonly used, but the residual tropospheric delays and larger noise hamper the basic ambiguity resolution (AR). With the completion of the BeiDou global navigation satellite system (BDS-3) and the quad-frequency signals provided by BDS-3 satellites, we can construct more combinations that are conducive to ambiguity resolution. Compared with ionosphere-free linear combinations, we estimated ionospheric delay using three independent WL observations, and formed an ionosphere-weighted model using uncombined code and phase observations, which proved to be quite effective. Based on the real quad-frequency BDS-3 observations of two CORS (Continuously Operating Reference Stations) and two user stations, we processed eight days of data to study the formal and empirical ambiguity success rates and user positioning errors. The rounding success rate of WL ambiguity was significantly improved with ionospheric correction. The success rate of the basic ambiguity increased from 94.4 and 96.1% to 98.0% using the quad-frequency ionosphere-weighted (QFIW) model compared with the double-frequency ionosphere-free (DFIF) model and the triple-frequency geometry-based (TFGB) model. Furthermore, the user E/N/U positioning accuracy improved by 20.6/31.5/13.1% and 6.3/22.9/5.8%, respectively. |
first_indexed | 2024-03-09T11:28:28Z |
format | Article |
id | doaj.art-6a50a318f80a48048df4b4e13e2a06ea |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T11:28:28Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-6a50a318f80a48048df4b4e13e2a06ea2023-11-30T23:57:04ZengMDPI AGRemote Sensing2072-42922022-03-01147165410.3390/rs14071654Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted ModelRuicheng Zhang0Chengfa Gao1Zhibin Wang2Qing Zhao3Rui Shang4Zihan Peng5Qi Liu6School of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaHebei Xiongan Jingde Expressway Co., Ltd., Baoding 071799, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaFor long baseline in a network, the traditional combined ionosphere-free (IF) + wide-lane (WL) strategy is commonly used, but the residual tropospheric delays and larger noise hamper the basic ambiguity resolution (AR). With the completion of the BeiDou global navigation satellite system (BDS-3) and the quad-frequency signals provided by BDS-3 satellites, we can construct more combinations that are conducive to ambiguity resolution. Compared with ionosphere-free linear combinations, we estimated ionospheric delay using three independent WL observations, and formed an ionosphere-weighted model using uncombined code and phase observations, which proved to be quite effective. Based on the real quad-frequency BDS-3 observations of two CORS (Continuously Operating Reference Stations) and two user stations, we processed eight days of data to study the formal and empirical ambiguity success rates and user positioning errors. The rounding success rate of WL ambiguity was significantly improved with ionospheric correction. The success rate of the basic ambiguity increased from 94.4 and 96.1% to 98.0% using the quad-frequency ionosphere-weighted (QFIW) model compared with the double-frequency ionosphere-free (DFIF) model and the triple-frequency geometry-based (TFGB) model. Furthermore, the user E/N/U positioning accuracy improved by 20.6/31.5/13.1% and 6.3/22.9/5.8%, respectively.https://www.mdpi.com/2072-4292/14/7/1654ambiguity resolutionBDS-3quad-frequencyionosphere-weightedreference station |
spellingShingle | Ruicheng Zhang Chengfa Gao Zhibin Wang Qing Zhao Rui Shang Zihan Peng Qi Liu Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model Remote Sensing ambiguity resolution BDS-3 quad-frequency ionosphere-weighted reference station |
title | Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model |
title_full | Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model |
title_fullStr | Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model |
title_full_unstemmed | Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model |
title_short | Ambiguity Resolution for Long Baseline in a Network with BDS-3 Quad-Frequency Ionosphere-Weighted Model |
title_sort | ambiguity resolution for long baseline in a network with bds 3 quad frequency ionosphere weighted model |
topic | ambiguity resolution BDS-3 quad-frequency ionosphere-weighted reference station |
url | https://www.mdpi.com/2072-4292/14/7/1654 |
work_keys_str_mv | AT ruichengzhang ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT chengfagao ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT zhibinwang ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT qingzhao ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT ruishang ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT zihanpeng ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel AT qiliu ambiguityresolutionforlongbaselineinanetworkwithbds3quadfrequencyionosphereweightedmodel |