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Author:

Sun, Ao (Sun, Ao.) | Zhang, Qiuzhao (Zhang, Qiuzhao.) | Gao, Xingwang (Gao, Xingwang.) | Meng, Xiaolin (Meng, Xiaolin.) | Zhang, Yunlong (Zhang, Yunlong.) | Hancock, Craig (Hancock, Craig.)

Indexed by:

EI Scopus SCIE

Abstract:

The BDS multipath delay error is highly related to the surrounding monitoring environment, which cannot be eliminated or mitigated by applying the double difference observation model. In the actual monitoring environment, due to the complexity of the BDS constellation, it is difficult for existing algorithms to consider GEO, IGSO, MEO and other different orbital types of satellites for real-time and efficient multipath error reduction. Therefore, we propose a novel BDS dual-frequency multipath error reduction method for real deformation monitoring for BDS considering various satellite orbit types. This method extracts the single error residual of each satellite based on the assumption of "zero mean" and divides the appropriate grid density of GEO and IGSO/MEO, respectively, to construct a dual-frequency multipath hemispherical map model suitable for BDS satellites with different orbital types. This method can realize the multipath error elimination of the observed values of different orbits and different frequencies. The results of simulation experiments and real deformation monitoring data demonstrate that this method can effectively eliminate low-frequency multipath delay errors in the observation domain and coordinate domain. After multipath correction, the precision of the horizontal coordinates and height coordinates are 1.7 mm and 4.6 mm. The precision of the horizontal coordinate and height coordinate is increased by 50% and 60%, respectively. The fixed rate of ambiguity increased by 5-7%.

Keyword:

BDS multipath hemispherical map deformation monitoring multipath single difference residuals

Author Community:

  • [ 1 ] [Sun, Ao]China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221116, Peoples R China
  • [ 2 ] [Zhang, Qiuzhao]China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221116, Peoples R China
  • [ 3 ] [Gao, Xingwang]China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221116, Peoples R China
  • [ 4 ] [Meng, Xiaolin]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Yunlong]China Railway Design Grp Co Ltd, Natl Engn Lab Digital Construct & Evaluat Urban Ra, Tianjin 300308, Peoples R China
  • [ 6 ] [Hancock, Craig]Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough LE11 3TU, Leics, England

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Source :

SENSORS

Year: 2023

Issue: 14

Volume: 23

3 . 9 0 0

JCR@2022

ESI Discipline: CHEMISTRY;

ESI HC Threshold:20

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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