An Improved Regularization Method to Estimate Near Real-time Systematic Errors and Ionospheric Delays Suitable for GPS Medium-long Baselines

Xiaowen Luoa, Yunbin Yuan, Jikun Ou, and Hang Guoc

Abstract:	For the GPS medium-long baselines network, the estimation of systematic errors (including residual ionospheric delay, tropospheric delay and orbit errors) and ionosphere delays is a key problem. This paper brings forwards a new approach to estimate the systematical errors and ionospheric delays for near real time. This new method adopts two measures, 1) regarding code and phase difference between two sequence epochs by the double difference (DD) as basic measurements; 2) considering the systematic errors and ionosphere delays as to be estimated parameters and combining the known coordinates' apriori information of medium-long baselines, then use Tikhonov regularized principle and select weight fitting idea to compute the systematic errors. In this study, we use three baselines, whose lengths range from tens of kilometers to longer than 1000 kilometers, to compute the systematic errors and ionosphere delays. The results of coordinate deviation of three baselines with different length (the range of tens of kilometers to more than one thousand kilometers), which are calculated after removed the systematical errors and ionosphere, are introduced, the deviations are in the range of twelve centimeters.
Published in:	Proceedings of IEEE/ION PLANS 2006 April 25 - 27, 2006 Loews Coronado Resort Hotel San Diego, CA
Pages:	103 - 109
Cite this article:	Luoa, Xiaowen, Yuan, Yunbin, Ou, Jikun, Guoc, Hang, "An Improved Regularization Method to Estimate Near Real-time Systematic Errors and Ionospheric Delays Suitable for GPS Medium-long Baselines," Proceedings of IEEE/ION PLANS 2006, San Diego, CA, April 2006, pp. 103-109. https://doi.org/10.1109/PLANS.2006.1650593
Full Paper:	ION Members/Non-Members: 1 Download Credit Sign In