Noise variance decomposition of regional GNSS network with missing observations using structured additive predictor
Abstract This study evaluates noise variance characteristics at configured GNSS stations using a combination of Factor Analysis (FA), stacked Gauss Markov Random Field (GMRF), and Structured Additive Predictor (SAP). FA is employed to decompose the variance in CGNSS time series into station-specific...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-12-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-024-06363-6 |
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