APPLICATION OF WAVELET AND KALMAN FILTERING COMBINATION IN GPS CYCLE SLIP DETECTION AND RESTORATION
Li Mingran;Tian Linya; and Rebiya
Department of Survey Engineering, Hohai University, Nanjing 210098
Abstract GPS Double-difference observations were decomposed through wavelet analytical method and the areas where biggish perturbation will occur were determined by the reconstructed high frequency signal.According to the theory and method of Kalman filtering ,then the observations of iffy areas were detected and corrected for cycle slip.The results indicate this method can repair small cycle slip primely,and has a good result for continuous cycle slips.
Key words ：
wavelet analysis
Kalman filtering
GPS
cycle slip detection
cycle slip restoration
Received: 01 January 1900
Corresponding Authors:
Li Mingran
Cite this article:
Li Mingran,Tian Linya,and Rebiya. APPLICATION OF WAVELET AND KALMAN FILTERING COMBINATION IN GPS CYCLE SLIP DETECTION AND RESTORATION[J]. , 2012, 32(4): 76-78.
Li Mingran,Tian Linya,and Rebiya. APPLICATION OF WAVELET AND KALMAN FILTERING COMBINATION IN GPS CYCLE SLIP DETECTION AND RESTORATION[J]. jgg, 2012, 32(4): 76-78.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2012/V32/I4/76
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