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GPS/BDS triple-frequency cycle slip detection and repair based on moving window global search method
1School of Engineering, Yunnan College of Business Management, Kunming, 650500, China.
This study introduces an effective method for detecting and repairing Global Navigation Satellite System (GNSS) cycle slips using triple-frequency data from GPS and BDS satellites. The new approach significantly improves accuracy and reliability in satellite navigation positioning.
Area of Science:
- Geodesy and Geomatics
- Satellite Navigation Systems
Background:
- Accurate Global Navigation Satellite System (GNSS) data processing relies on precise cycle slip detection and repair.
- Triple-frequency observations from Global Positioning System (GPS) and BeiDou Navigation Satellite System (BDS) offer enhanced capabilities over dual-frequency systems.
Purpose of the Study:
- To develop and validate a novel moving window global search method for detecting and repairing triple-frequency cycle slips in GNSS data.
- To enhance the accuracy and reliability of GNSS positioning by addressing cycle slip ambiguities.
Main Methods:
- A moving window global search algorithm utilizing geometry-free (GF) models with combined coefficients to mitigate ionospheric effects.
- Employing a "3 sigma" criterion for range constraint and updating standard deviation within the moving window for cycle slip estimation.
- Global search strategy to identify and correct triple-frequency cycle slips, avoiding multi-value issues.
Main Results:
- The proposed method successfully determined the position and magnitude of triple-frequency cycle slips across five experimental datasets.
- Achieved high detection success rates: 98.0-100.0% for GPS and 92.0-100.0% for BDS.
- Demonstrated average detection rates of 99.2% for GPS and 96.7% for BDS, surpassing the direct rounding method and effective for slips within 2 cycles.
Conclusions:
- The moving window global search method provides a robust and accurate solution for triple-frequency GNSS cycle slip detection and repair.
- This technique offers significant improvements in reliability and accuracy compared to existing methods, particularly for small cycle slips.
- The study validates the effectiveness of triple-frequency observations in advancing GNSS data processing precision.
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