Multipath Error Fusion Modeling Methods for Multi-GNSS

The multipath error is considered to be the most limiting factor for high precision positioning applications. The sidereal filtering (SF) method can be used to mitigate the multipath error in the observation domain, and it has been successfully applied in the multipath mitigation in global positioni...

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Main Authors: Xuan Zou, Zhiyuan Li, Yawei Wang, Chenlong Deng, Yangyang Li, Weiming Tang, Ruinan Fu, Jianhui Cui, Jingnan Liu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/15/2925
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author Xuan Zou
Zhiyuan Li
Yawei Wang
Chenlong Deng
Yangyang Li
Weiming Tang
Ruinan Fu
Jianhui Cui
Jingnan Liu
author_facet Xuan Zou
Zhiyuan Li
Yawei Wang
Chenlong Deng
Yangyang Li
Weiming Tang
Ruinan Fu
Jianhui Cui
Jingnan Liu
author_sort Xuan Zou
collection DOAJ
description The multipath error is considered to be the most limiting factor for high precision positioning applications. The sidereal filtering (SF) method can be used to mitigate the multipath error in the observation domain, and it has been successfully applied in the multipath mitigation in global positioning systems (GPS) and regional BeiDou navigation satellite systems (BDS2). However, there are few reports on the SF method in other systems. The performance of the SF method relies on the explicit orbit repeat periods of satellites in diverse systems or even different types of constellations. It is therefore inconvenient to utilize the SF method for multi-GNSS multipath error mitigation. Alternatively, a space domain multipath error reduction method, which establishes the multi-point hemispherical grid model (MHGM) using the residuals of the double-differenced carrier phase observations in the ambiguity-fixed period, has been modified. It is an integrated model for multi-GNSS, without considering the diversity of different systems and constellations. To compare the performance of MHGM and SF from a multi-GNSS point of view, the determination method of orbit repeat periods via the broadcast ephemerides is summarized, and the SF method is extended to the global BeiDou navigation satellite system (BDS3) and Galileo navigation satellite system. Further test results show that the performance of MHGM and SF are comparable from the perspective of root mean squares (RMS) and the power spectrum analysis of double-differenced residuals, as well as the static positioning results. This implies that the space domain MHGM can obtain similar correction effects as the SF method in the observation domain, but the former is more flexible for modeling with various systems’ data. In addition, the established MHGM using the data of multi orbit periods demonstrates a better performance compared with that of only one orbit period, and an average improvement of 13.1% in the RMS of the double-differenced residuals can be achieved.
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spelling doaj.art-817e3c7bc92a40babfc934dbbbb8b6532023-11-22T06:06:14ZengMDPI AGRemote Sensing2072-42922021-07-011315292510.3390/rs13152925Multipath Error Fusion Modeling Methods for Multi-GNSSXuan Zou0Zhiyuan Li1Yawei Wang2Chenlong Deng3Yangyang Li4Weiming Tang5Ruinan Fu6Jianhui Cui7Jingnan Liu8GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGeomatics College, Shandong University of Science and Technology, Qingdao 266590, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaThe multipath error is considered to be the most limiting factor for high precision positioning applications. The sidereal filtering (SF) method can be used to mitigate the multipath error in the observation domain, and it has been successfully applied in the multipath mitigation in global positioning systems (GPS) and regional BeiDou navigation satellite systems (BDS2). However, there are few reports on the SF method in other systems. The performance of the SF method relies on the explicit orbit repeat periods of satellites in diverse systems or even different types of constellations. It is therefore inconvenient to utilize the SF method for multi-GNSS multipath error mitigation. Alternatively, a space domain multipath error reduction method, which establishes the multi-point hemispherical grid model (MHGM) using the residuals of the double-differenced carrier phase observations in the ambiguity-fixed period, has been modified. It is an integrated model for multi-GNSS, without considering the diversity of different systems and constellations. To compare the performance of MHGM and SF from a multi-GNSS point of view, the determination method of orbit repeat periods via the broadcast ephemerides is summarized, and the SF method is extended to the global BeiDou navigation satellite system (BDS3) and Galileo navigation satellite system. Further test results show that the performance of MHGM and SF are comparable from the perspective of root mean squares (RMS) and the power spectrum analysis of double-differenced residuals, as well as the static positioning results. This implies that the space domain MHGM can obtain similar correction effects as the SF method in the observation domain, but the former is more flexible for modeling with various systems’ data. In addition, the established MHGM using the data of multi orbit periods demonstrates a better performance compared with that of only one orbit period, and an average improvement of 13.1% in the RMS of the double-differenced residuals can be achieved.https://www.mdpi.com/2072-4292/13/15/2925multipathsidereal filteringmulti-point hemispherical grid modelmulti-GNSSfusion solution
spellingShingle Xuan Zou
Zhiyuan Li
Yawei Wang
Chenlong Deng
Yangyang Li
Weiming Tang
Ruinan Fu
Jianhui Cui
Jingnan Liu
Multipath Error Fusion Modeling Methods for Multi-GNSS
Remote Sensing
multipath
sidereal filtering
multi-point hemispherical grid model
multi-GNSS
fusion solution
title Multipath Error Fusion Modeling Methods for Multi-GNSS
title_full Multipath Error Fusion Modeling Methods for Multi-GNSS
title_fullStr Multipath Error Fusion Modeling Methods for Multi-GNSS
title_full_unstemmed Multipath Error Fusion Modeling Methods for Multi-GNSS
title_short Multipath Error Fusion Modeling Methods for Multi-GNSS
title_sort multipath error fusion modeling methods for multi gnss
topic multipath
sidereal filtering
multi-point hemispherical grid model
multi-GNSS
fusion solution
url https://www.mdpi.com/2072-4292/13/15/2925
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