PMID- 37447999 OWN - NLM STAT- PubMed-not-MEDLINE DCOM- 20230717 LR - 20230718 IS - 1424-8220 (Electronic) IS - 1424-8220 (Linking) VI - 23 IP - 13 DP - 2023 Jul 4 TI - The Extraction and Characterization of Pseudorange Multipath Based on BDS-3 Multi-Frequency Observations. LID - 10.3390/s23136151 [doi] LID - 6151 AB - Global Navigation Satellite System (GNSS) observations are subject to various errors during their propagation process. A reasonable correction of these errors can improve the positioning, navigation, and timing (PNT) service capability. The impact of multipaths on pseudorange observations can reach a decimeters or even meters level. However, their mechanism is complex and there is currently no universally accepted high-precision correction model. The correlation between the pseudorange multipaths (MP) of BDS-2 satellites and satellite elevation has been confirmed, while there have been fewer analyses of the MP characteristics for different frequencies of BDS-3 satellites. The broadcasting of multi-frequency observations in BDS-3 should theoretically make the extracted MP more accurate compared to traditional methods. Based on this, in this contribution, a multi-frequency MP extraction algorithm based on the least squares principle is proposed, which can simultaneously eliminate the influence of higher-order ionospheric delay. The analytical expression for only eliminating first-order ionospheric delay is successfully derived. Subsequently, the characteristics of the MPs extracted from different frequency combinations and the impact of combination noise on the extraction accuracy are discussed. The influence of second-order ionospheric delay on the MPs for each frequency under different combination noises, as well as the periodic behavior exhibited in long-term observations of the BDS-3 medium earth orbit (MEO) and inclined geosynchronous orbit (IGSO) satellites, are also analyzed. Finally, the correlations between the MPs of each frequency of BDS satellite and elevation are quantitatively analyzed based on observations from 35 stations. Overall, this work has positive implications for the study of the MP characteristics of BDS-3 and subsequent modeling efforts. FAU - Guo, Zhongchen AU - Guo Z AD - Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China. AD - School of Environment and Surveying Engineering, Suzhou University, Suzhou 234000, China. AD - School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China. AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Yu, Xuexiang AU - Yu X AD - Key Laboratory of Aviation-Aerospace-Ground Cooperative Monitoring and Early Warning of Coal Mining-Induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China. AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Hu, Chao AU - Hu C AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Jiang, Chuang AU - Jiang C AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Tan, Hao AU - Tan H AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Zhu, Mingfei AU - Zhu M AD - School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China. AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. FAU - Xie, Shicheng AU - Xie S AD - School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China. AD - School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China. LA - eng GR - KLAHEI202202/Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes (Anhui University of Sci-ence and Technology)/ GR - 41474026/National Natural Science Foundation of China/ GR - 202104a07020014/Key Research and Development Program of Anhui Province/ GR - 202103a05020026/Major science and technology projects of Anhui Province/ GR - 2008085MD114/Anhui Natural Science Foundation/ GR - 2021yzd03, 2021yzd09/Key scientific research project of Suzhou University/ GR - KSXTJC202203/Coal Industry Engineering Research Center of Mining Area Environmental And Disaster Cooper-ative Monitoring (Anhui University of Science and Technology)/ GR - szxy2021ylzy05/First Class Undergraduate Major of Suzhou University/ GR - 2020jxtd285/Surveying and Mapping Engineering Professional Teaching Team of Anhui Province/ PT - Journal Article DEP - 20230704 PL - Switzerland TA - Sensors (Basel) JT - Sensors (Basel, Switzerland) JID - 101204366 SB - IM MH - *Algorithms MH - *Records PMC - PMC10347138 OTO - NOTNLM OT - BDS-3 OT - analytical expression OT - combination noise OT - correlation analysis OT - ionospheric delay OT - multi-frequency observations OT - pseudorange multipath COIS- The authors declare no conflict of interest. EDAT- 2023/07/14 13:06 MHDA- 2023/07/17 06:42 PMCR- 2023/07/04 CRDT- 2023/07/14 01:26 PHST- 2023/06/12 00:00 [received] PHST- 2023/06/27 00:00 [revised] PHST- 2023/07/03 00:00 [accepted] PHST- 2023/07/17 06:42 [medline] PHST- 2023/07/14 13:06 [pubmed] PHST- 2023/07/14 01:26 [entrez] PHST- 2023/07/04 00:00 [pmc-release] AID - s23136151 [pii] AID - sensors-23-06151 [pii] AID - 10.3390/s23136151 [doi] PST - epublish SO - Sensors (Basel). 2023 Jul 4;23(13):6151. doi: 10.3390/s23136151.