Partial Continuation Model-Based Mitigation of Systematic Errors of DD GPS Measurements

Jianfeng Guo

Abstract:	Based on hypothesis test, the partial continuation model is introduced to mitigate the systematic errors of the original double-differenced (DD) GPS measurements. For every satellite pair, the temporal correlation coefficient is estimated using the original 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 more detail. The experimental results demonstrate that the proposed procedure can mitigate effectively the impact of systematic errors on DD GPS measurements.
Published in:	Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) September 13 - 16, 2005 Long Beach Convention Center Long Beach, CA
Pages:	517 - 524
Cite this article:	Guo, Jianfeng, "Partial Continuation Model-Based Mitigation of Systematic Errors of DD GPS Measurements," Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 2005, pp. 517-524.
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