Abstract

Differential code biases (DCBs) are important parameters in GNSS (Global Navigation Satellite System) applications such as positioning as well as ionosphere remote sensing. In comparison to the conventional approach, which utilizes ground-based observations and parameterizes global ionosphere maps together with DCBs, a method is presented for GPS and BeiDou system (BDS) satellite DCB estimation using onboard observations from the Chinese Fengyun-3C (FY3C) satellite. One month worth of GPS and BDS data during March 2015 was exploited and the GPS C1C-C2W and BDS C2I-C7I DCBs were explored. To improve DCB estimation precision, the dual frequency carrier phase measurements leveled by code measurements were used to form basic observation equation. Code multipath errors of the FY3C onboard GPS/BDS observations were assessed and modeled as grid maps, and their impact on DCB estimation was analyzed. By correcting code multipath errors, the stability of DCB estimates was improved by 5.0%, 3.1%, 16.2% and 13.6% for GPS, and BDS geosynchronous orbit satellites (GEOs), inclined geosynchronous satellite orbit satellites (IGSOs) and medium Earth orbit satellites (MEOs), respectively. The monthly stability of FY3C-based DCBs was at the order of 0.1 ns for GPS satellites, 0.2 ns for BDS GEOs and 0.1 ns for BDS IGSOs and MEOs. By comparison to the ground-based DCB products issued by other institutions, FY3C-based DCBs showed stability degradation for BDS C02 and C05 satellites, while, for other satellites, the stability reached a similar or even superior level. The estimated FY3C receiver DCB stability was at the order of 0.2 ns for both GPS and BDS. In addition to the DCB estimates, the obtained vertical total electron content above the FY3C satellite orbit was also investigated and its realism was examined in physical and numerical aspects.

Highlights

  • Differential code biases (DCBs) are usually identified as the signal timing biases existing between two different frequencies or channels within one GNSS (Global Navigation Satellite System) system, which originates from different hardware path delays and associates with both GNSS satellites and receivers

  • The typical BeiDou system (BDS) C2I–C7I DCB stability from ground-based solutions is at the order of 0.20–0.30 ns for geosynchronous orbit satellites (GEOs), 0.10–0.15 ns for inclined geosynchronous satellite orbit satellites (IGSOs) and 0.15–0.20 ns for medium Earth orbit satellites (MEOs) as reported in various studies (e.g., [32,33,34])

  • The precise carrier-phase observations are exploited in the method through carrier-to-code leveling, while the impact of FY3C code multipath errors on the leveling algorithm as well as DCB estimation is analyzed

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Summary

Introduction

DCBs (differential code biases) are usually identified as the signal timing biases existing between two different frequencies or channels within one GNSS (Global Navigation Satellite System) system, which originates from different hardware path delays and associates with both GNSS satellites and receivers. The ionosphere vertical total electronic content (VTEC) can be considerably variable in both spatial and temporal domains, they are often parameterized as spherical harmonics in solar-geomagnetic reference frame with piece-wise linear connections for representation of temporal variations This conventional method allows us to determine GPS satellite DCBs with a fine precision at the level of few tenths of ns when observations from a world-wide tracking network are processed [14,15]. For the new emerging GNSS systems, especially for regional systems such as BDS-2, they can hardly provide global coverage in their current constellation status, making GIM estimation difficult To solve this problem, ionosphere delay has to be firstly calculated, e.g., by using GIM generated from GPS data, and subtracted from the geometry-free combinations, leaving only satellite and receiver DCBs for adjustment [16,17].

DCB Estimation Method
Data Description and Processing Strategy
Multipath Modeling and Validation
Evaluation of DCB and TEC Estimates with Multipath Correction
GPS and BDS Satellite DCB Evaluation
Plasmasphere Electron Content Estimation
Conclusions
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