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|Title: ||Single-frequency GPS/SBAS RTK Positioning using Augmen-tation Adaptive Extended Kalman Filter|
|Authors: ||Shiou-Gwo Lin|
|Issue Date: ||2017-02-06T03:41:42Z
|Abstract: ||Abstract: Using low-cost single frequency GPS receiver for kinematics positioning, the data takes a long time (comparing to the usual dual-band receivers at present) for solving ambiguity. The paper added SBAS satellite data to improve the problem. SBAS satellite signal strength is weaker and the larger orbit error than GPS satellite. It is necessary to carefully consider the differences between GPS and SBAS satellite data, or it will become unstable or even fail to solve. This paper presents an adaptive EKF theory. The data of master station is used to estimate the error of each satellite. The error information is designed for dynamically adjusting the corresponding system and measurement model of EKF. Validation with the 24-hour experimental data of short baseline, this method can be successfully carried out GPS / SBAS RTK positioning. The success rate of ambiguity resolution of 10 minutes GPS data is improved from 56.9% to 81.9%, when added the SBAS data.|
|Appears in Collections:||[通訊與導航工程學系] 演講及研討會|
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