An Improved Detection and Repair Method for Cycle Slips Based on TurboEdit Algorithm
Abstract This method is an improvement based on TurboEdit algorithm. Firstly, it uses the Kalman filter to separate the ambiguity resolution in order to improve the precision of the ambiguity, thus to set up the foundation for detecting the repairing the cycle slips properly; Secondly, this method uses a fixed length sliding window fitting model to improve the polynomial fitting of the original GF combination; Thirdly, it uses the fixed length sliding window fitting model to calculate the floating solution of the cycle slips while repairing the cycle slips. The validity of this method has been tested by the GPS data. The results show that this method is valid for the detection and repair for small, big and multiple cycle slips.
Key words :
GPS
cycle slips
TurboEdit algorithm
sliding window
Kalman filter algorithm
Cite this article:
DANG Ziyue,XIA Fengyu. An Improved Detection and Repair Method for Cycle Slips Based on TurboEdit Algorithm[J]. jgg, 2016, 36(8): 723-726.
DANG Ziyue,XIA Fengyu. An Improved Detection and Repair Method for Cycle Slips Based on TurboEdit Algorithm[J]. jgg, 2016, 36(8): 723-726.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2016/V36/I8/723
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