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HU Chao, WANG Zhongyuan, LYU Weicai, YU Zhihao. A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200712
Citation: HU Chao, WANG Zhongyuan, LYU Weicai, YU Zhihao. A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200712

A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints

doi: 10.13203/j.whugis20200712
Funds:

National Key R&D Program of China (2020YFA0713502)

  • Received Date: 2021-01-04
  • Objectives: Observation quality is one of main indexes to evaluate the performances of satellite navigation system. Under the background of the global BeiDou navigation system (BDS-3) officially opening global services, the high-precision and high-reliability Positioning, Navigation and Timing (PNT) services are the prerequisites of BeiDou innovations and developments, and global uses. As the main error in the processing of Global Navigation Satellite System (GNSS) observations, researches about rapidly high-precision and mitigated multipath delays are always the focus of the GNSS areas. In consideration of the drawbacks that the traditional multipath modelling strategy, namely first trend then random terms, cannot obtain the global optimal solutions, this research proposes a real-time multipath correction model based on the prior constraints. Methods: Firstly, the regularization algorithm combined with Total Variation term are used to denoise and refine the multipath series in aspect of estimated BeiDou navigation system (BDS) multipath delay. Secondly, the trend and random parts of multipath delays are separately processed and together modeled, in which the strategy of least square plus autoregression (LS+AR) is used to estimate model coefficients in one step. Thirdly, to meet with the requirements of real-time or near real-time BDS applications, the multipath mitigation model is further optimized based on the prior information. Results: According the real-time experiments of BDS Precise Point Positioning (PPP), it is indicated that the accuracy of the regional navigation satellite system (BDS-2) PPP can be improved with 10.6%-64.9%, 0.0%-59.1% and 12.6%-67.2% (B1I/B3I) in the directions of East(E), North(N) and Up(U), respectively. Moreover, the accuracy of stations coordinates using BDS-3 observations can be optimized with at least 13.9%, 60.0%, 45.9% (B1I/B3I) and 19.1%, 46.5%, 23.9% (B1C/B2a) for E, N and U directions, respectively. Conclusions: Therefore, the BDS observation quality can be well improved by the proposed strategy in mitigation multipath delays.
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    [3] Li X X, Yuan Y Q, Zhu Y T, et al. Precise Orbit Determination for BDS3 Experimental Satellites Using iGMAS and MGEX Tracking Networks[J]. Journal of Geodesy, 2019, 93(1):103-117
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A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints

doi: 10.13203/j.whugis20200712
Funds:

National Key R&D Program of China (2020YFA0713502)

Abstract: Objectives: Observation quality is one of main indexes to evaluate the performances of satellite navigation system. Under the background of the global BeiDou navigation system (BDS-3) officially opening global services, the high-precision and high-reliability Positioning, Navigation and Timing (PNT) services are the prerequisites of BeiDou innovations and developments, and global uses. As the main error in the processing of Global Navigation Satellite System (GNSS) observations, researches about rapidly high-precision and mitigated multipath delays are always the focus of the GNSS areas. In consideration of the drawbacks that the traditional multipath modelling strategy, namely first trend then random terms, cannot obtain the global optimal solutions, this research proposes a real-time multipath correction model based on the prior constraints. Methods: Firstly, the regularization algorithm combined with Total Variation term are used to denoise and refine the multipath series in aspect of estimated BeiDou navigation system (BDS) multipath delay. Secondly, the trend and random parts of multipath delays are separately processed and together modeled, in which the strategy of least square plus autoregression (LS+AR) is used to estimate model coefficients in one step. Thirdly, to meet with the requirements of real-time or near real-time BDS applications, the multipath mitigation model is further optimized based on the prior information. Results: According the real-time experiments of BDS Precise Point Positioning (PPP), it is indicated that the accuracy of the regional navigation satellite system (BDS-2) PPP can be improved with 10.6%-64.9%, 0.0%-59.1% and 12.6%-67.2% (B1I/B3I) in the directions of East(E), North(N) and Up(U), respectively. Moreover, the accuracy of stations coordinates using BDS-3 observations can be optimized with at least 13.9%, 60.0%, 45.9% (B1I/B3I) and 19.1%, 46.5%, 23.9% (B1C/B2a) for E, N and U directions, respectively. Conclusions: Therefore, the BDS observation quality can be well improved by the proposed strategy in mitigation multipath delays.

HU Chao, WANG Zhongyuan, LYU Weicai, YU Zhihao. A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200712
Citation: HU Chao, WANG Zhongyuan, LYU Weicai, YU Zhihao. A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints[J]. Geomatics and Information Science of Wuhan University. doi: 10.13203/j.whugis20200712
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