C
Chengfa Gao
Researcher at Southeast University
Publications - 53
Citations - 491
Chengfa Gao is an academic researcher from Southeast University. The author has contributed to research in topics: Global Positioning System & GNSS applications. The author has an hindex of 10, co-authored 43 publications receiving 342 citations.
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Journal ArticleDOI
Support Vector Machine for Regional Ionospheric Delay Modeling.
TL;DR: A new ionosphere modeling method with combining the support vector machine (SVM) regression model and the POLY model is proposed, which improves the positioning accuracies of single-frequency PPP are improved over 40% compared with those using POLY models.
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Improving Ambiguity Resolution for Medium Baselines Using Combined GPS and BDS Dual/Triple-Frequency Observations
TL;DR: The results indicate that, compared to the single triple-frequency BDS system, the combined system can significantly enhance the AR model strength, and thus improve AR performance for medium baselines with a 75.7% reduction of initialization time on average.
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Fusion of GNSS and Speedometer Based on VMD and Its Application in Bridge Deformation Monitoring.
TL;DR: Simulation experiment and measured data show that the VMD algorithm could effectively resist the modal aliasing caused by noise and discontinuous signals compared with the commonly used Empirical Mode Decomposition (EMD) algorithm, which is guaranteed to get high-precision fusion data.
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Method and assessment of BDS triple-frequency ambiguity resolution for long-baseline network RTK
TL;DR: A modified ionosphere-free model was proposed to improve EWL/WL AR performance for long baselines, followed by the comparison with several commonly-used EWL or WL AR models, and results show that the modified ionospheric free model can balance the ambiguity precision and ambiguity bias better for the EWL /WLAR.
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Analysis of the carrier-phase multipath in GNSS triple-frequency observation combinations
TL;DR: In this paper, the influence of the carrier-phase multipath in three typical triple-frequency combinations: extra wide-lane (EWL) combination, ionosphere estimation with ambiguity-corrected EWL/widelane (WL) combinations and the geometry-free and ionosphere-free (GIF) combination for narrowlane (NL) AR was analyzed.