利用主成分分析建立区域对流层延迟时空模型

提出一种基于主成分分析(PCA)的ZTD时空建模方法,并利用GNSS连续运行参考站获取的ZTD数据,建立香港、云南、中国3个区域范围的ZTD时空模型。结果表明,所建立的区域对流层延迟时空模型不仅精度明显高于Saastamoinen、EGNOS和UNB3m模型,而且建模过程简单,模型参数较少,使用方便。

Regional Spatio-Temporal Zenith Tropospheric Delay Modeling Using Principal Component Analysis

A spatio-temporal ZTD modeling method based on principal component analysis (PCA) is proposed. Based on this modeling method, three regional spatio-temporal ZTD models of Hong Kong, Yunnan province and China mainland are established using daily ZTD observation data obtained from the GNSS continuous operation reference stations. The test results show that the accuracy of the regional spatio-temporal ZTD models is significantly higher than that of the Saastamoinen, EGNOS and UNB3m models. Moreover, the proposed PCA spatio-temporal ZTD modeling method has advantages such as simple modeling process, less model parameters and greater convenience.