Partial continuation model and its application in mitigating systematic errors of double-differenced GPS measurements
Partial continuation model and its application in mitigating systematic errors of double-differenced GPS measurements
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DOI：
10.1080/10020070512331342060
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发表时间：
2005-03
期刊：
影响因子：
--
通讯作者：
Guo Jianfeng;Ou Jikun;Ren Chao
中科院分区：
文献类型：
--
作者：
Guo Jianfeng;Ou Jikun;Ren Chao
基于精确有限观测值的部分延拓模型，提出了一种新的随机估计方法。对于每个卫星对，利用原始的双差(DD)GPS测量值估计时间相关系数，然后应用Durbin-Watson检验对时间相关系数的特定假设进行检验。除非检验在某一显著水平上不显著，否则需要进行数据变换。这些变换后的观测值不具有时间相关性。为了说明这一点，对两个静态GPS基线数据进行了详细的分析。实验结果表明，该方法可以有效地缓解系统误差对DD GPS测量的影响。
Based on the so-called partial continuation model with exact finite measurements,a new stochastic assessment procedure is introduced.For every satellite pair,the temporal correlation coefficient is estimated using the original double-differenced(DD)GPS measurements.And then,the Durbin-Watson test is applied to test specific hypothesis on the temporal correlation coefficient.Unless the test is not significant with a certain significant level,a data transformation is required.These transformed measurements are free of time correlations.For purpose of illustration,two static GPS baseline data sets are analyzed in detail.The experimental results demonstrate that the proposed procedure can mitigate effectively the impact of systematic errors on DD GPS measurements.