A Method for Increasing Precision of Short Baseline with Large Height Difference by Using Semi-Parametric Model
Abstract Although the baseline is short, tropospheric delay cannot be fully eliminated by double difference method if the height difference of two stations is very large. Residual tropospheric error will have an impact on the baseline solution. A semi-parametric model is proposed to solve the short baseline with large height difference. Actual experimental results show that, the semi-parametric model can separate residual tropospheric error and improve calculating precision of baseline better than the least squares estimation.
Key words ：
short baseline
semi-parametric model
compensated least squares
estimation of tropospheric delay
Cite this article:
JIANG Junru,TAO Tingye,GAO Fei. A Method for Increasing Precision of Short Baseline with Large Height Difference by Using Semi-Parametric Model
[J]. jgg, 2016, 36(4): 319-322.
JIANG Junru,TAO Tingye,GAO Fei. A Method for Increasing Precision of Short Baseline with Large Height Difference by Using Semi-Parametric Model
[J]. jgg, 2016, 36(4): 319-322.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2016/V36/I4/319
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