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Estimability analysis of differential inter-system biases and differential inter-frequency biases for dual-frequency GPS and BDS combined RTK
Liu, Jinhai1,3; Tu, Rui1,2,3; Han, Junqiang1,2; Zhang, Rui1,2; Zhang, Pengfei1,3; Fan, Lihong1,2
2020-02-01
发表期刊MEASUREMENT SCIENCE AND TECHNOLOGY
ISSN0957-0233
卷号31期号:2页码:18
摘要Inter-system biases (ISBs) and inter-frequency biases (IFBs) are critical for the data processing of multi-frequency and multi-constellation global navigation satellite systems (GNSS). Calibration of the ISB and IFB makes it possible to enhance the accuracy, integrity, and availability of multi-GNSS positioning, navigation, and timing. In this study, we investigate the magnitude and stability of the code and carrier phase differential intersystem biases (DISBs) between the GPS/BeiDou navigation satellite system (BDS) L1- B1/L2-B2 and differential inter-frequency biases (DIFBs) between L1-L2/B1- B2 using zero and short baseline data collected using both identical and different receiver types in realtime kinematic (RTK) positioning. We verify that the code and carrier phase DISBs of GPS/BDS L1-B1/L2-B2 and DIFBs of L1-L2/B1-B2 are both approximately constant on the timescale of a consecutive five-day observation period from a statistical perspective, and can thus be corrected by a priori DISB and DIFB, respectively. Moreover, the performance of the a priori model correction and real-time estimation strategies for the DISB and DIFB are compared. Both can precisely correct the DISB and DIFB and achieve significantly improved performance for multi-GNSS inter-system and inter-frequency combined RTK positioning compared to the classical intra-system and intra-frequency combined RTK approach. The DISB and DIFB using the a priori model correction and real-time estimation effectively improve the positioning model strength, thereby enabling superior performance for multi-GNSS positioning.
关键词BeiDou navigation satellite system differential inter-system bias Differential inter-frequency bias GPS
资助者National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project
DOI10.1088/1361-6501/ab4844
关键词[WOS]GALILEO ; MODEL ; SIGNALS ; BEIDOU ; QZSS
语种英语
资助项目National Natural Science Foundation of China[41674034] ; National Natural Science Foundation of China[41974032] ; National Natural Science Foundation of China[11903040] ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents'[Y923YC1701] ; Frontier Science Research Project[QYZDB-SSW-DQC028]
资助者National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Chinese Academy of Sciences (CAS) programs of 'Pioneer Hundred Talents' ; Frontier Science Research Project ; Frontier Science Research Project
WOS研究方向Engineering ; Instruments & Instrumentation
WOS类目Engineering, Multidisciplinary ; Instruments & Instrumentation
WOS记录号WOS:000526712400001
出版者IOP PUBLISHING LTD
引用统计
文献类型期刊论文
条目标识符http://210.72.145.45/handle/361003/9613
专题守时理论与方法研究室
通讯作者Tu, Rui
作者单位1.Chinese Acad Sci, Natl Time Serv Ctr, Shu Yuan Rd, Xian 710600, Peoples R China
2.Chinese Acad Sci, Key Lab Precis Nav & Timing Technol, Shu Yuan Rd, Xian 710600, Peoples R China
3.Univ Chinese Acad Sci, Yu Quan Rd, Beijing 100049, Peoples R China
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Liu, Jinhai,Tu, Rui,Han, Junqiang,et al. Estimability analysis of differential inter-system biases and differential inter-frequency biases for dual-frequency GPS and BDS combined RTK[J]. MEASUREMENT SCIENCE AND TECHNOLOGY,2020,31(2):18.
APA Liu, Jinhai,Tu, Rui,Han, Junqiang,Zhang, Rui,Zhang, Pengfei,&Fan, Lihong.(2020).Estimability analysis of differential inter-system biases and differential inter-frequency biases for dual-frequency GPS and BDS combined RTK.MEASUREMENT SCIENCE AND TECHNOLOGY,31(2),18.
MLA Liu, Jinhai,et al."Estimability analysis of differential inter-system biases and differential inter-frequency biases for dual-frequency GPS and BDS combined RTK".MEASUREMENT SCIENCE AND TECHNOLOGY 31.2(2020):18.
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