Applicability Analysis of Kriging Methodology for China

Jun-jie, Bao; Li, Rui; Huang, Zhigang

doi:10.1007/978-981-15-3711-0_67

Cited by 2 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ionospheric delay continues to be the largest and most unpredictable error source which may degrade the accuracy and integrity of SF service mode in SBAS. Associated with each satellite‐to‐receiver raypath is a delay evaluated at the Ionospheric pierce points (IPPs), defined to be the location where the raypath penetrates the ionospheric shell [ 13 , 14 ] . For SBAS Ionospheric range delay (IRD) corrections, the delay of IGPs is calculated by local interpolation of IPPs.…”

Section: Introductionmentioning

confidence: 99%

Distribution of Reference Stations: Initial Explore on the Optimal Selection Strategy

Jun-jie¹,

Li²,

Shao

et al. 2021

Chinese J of Electronics

View full text Add to dashboard Cite

The Satellite-based augmentation system (SBAS) is intended to provide real-time differential global navigation satellite system corrections with the high accuracy, availability, and integrity required for aviation applications. Since the performance of Satellite clock and ephemeris (SCE) corrections and Ionospheric range delay (IRD) corrections can vary dramatically depending on satellites and Ground reference stations (GRSs) geometry, therefore, we present a GRSs distribution optimized criteria and process to improve SBAS corrections performance. The present step-by-step optimized scheme using the average satellite surveillance dilution of precision and relative centroid metric availability of grid points as fitness values to determine the appropriate GRSs distribution to sufficiently meet the corrections requirements. The results show that the statistical mean RCM availability can reach more than 0.5518 for all IGPs and the coverage depth of GRSs in China and its surrounding areas is more than 25, which fully satisfies the requirement for solving SCE and IRD corrections.

show abstract

Section: Introductionmentioning

confidence: 99%