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Published on: May 1, 2018
The Extraction and Characterization of Pseudorange Multipath Based on BDS-3 Multi-Frequency Observations
Zhongchen Guo1,2,3,4, Xuexiang Yu1,4, Chao Hu4
1Key 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.
This study introduces a new multi-frequency algorithm to extract multipath errors from BeiDou Navigation Satellite System (BDS-3) signals. The method improves the accuracy of positioning, navigation, and timing (PNT) services by analyzing signal characteristics.
Area of Science:
- Geodesy and Geomatics
- Satellite Navigation Systems
- Signal Processing
Background:
- Global Navigation Satellite System (GNSS) observations are crucial for Positioning, Navigation, and Timing (PNT) services but are affected by various errors.
- Multipath (MP) errors in pseudorange observations can be significant (decimeters to meters), yet high-precision correction models are lacking.
- Previous studies confirmed MP-elevation correlations for BDS-2, but BDS-3 multi-frequency MP characteristics require further analysis.
Purpose of the Study:
- To develop and validate a multi-frequency algorithm for extracting pseudorange multipath (MP) errors from BDS-3 observations.
- To analyze the characteristics of MPs across different BDS-3 frequencies and assess the impact of ionospheric delays and noise.
- To investigate the correlation between BDS-3 MPs and satellite elevation angles.
Main Methods:
- A novel multi-frequency MP extraction algorithm based on the least squares principle was developed.
- The algorithm simultaneously eliminates higher-order ionospheric delays, with an analytical expression derived for first-order ionospheric delay elimination.
- Analysis involved extracted MPs from various frequency combinations, assessing combination noise effects, and examining long-term observations from BDS-3 MEO and IGSO satellites.
Main Results:
- The proposed algorithm successfully extracts MPs from BDS-3 observations, considering multi-frequency combinations and ionospheric effects.
- The study details the impact of combination noise on MP extraction accuracy and analyzes the influence of second-order ionospheric delay.
- Periodic behaviors in long-term observations of BDS-3 MEO and IGSO satellites were identified, and quantitative correlations between MPs and satellite elevation were established.
Conclusions:
- The developed multi-frequency MP extraction algorithm offers a more accurate approach for analyzing BDS-3 signal errors.
- Understanding MP characteristics across different frequencies and their correlation with elevation is crucial for improving PNT service reliability.
- This research provides valuable insights for future modeling efforts to mitigate multipath effects in GNSS.
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