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Published Articles >> Table of Contents >> Abstract
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06)
pp. 46-50
Cycle Slip Detection and Correction of GPS Carrier Phase Based on Wavelet Transform and Neural Network
Tinghua Yi, Dalian University of Technology, China
Hongnan Li, Dalian University of Technology, China
Guoxin Wang, Dalian University of Technology, China
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.129
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| Abstract |
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In order to attain high precision positioning and
navigation results with GPS, cycle slips must be correctly
detected and repaired at the data preprocessing stage. Based on
the characteristics of cycle slip we analyzed, a novel two-stage
method was developed. Firstly, the wavelet multi-resolution
analysis (MRA) is carried out and then the location of the cycle
slip can be detected by ascertaining the point of modulus
maximal value of the wavelet coefficients since the cycle slip can
be regarded as the singular point of the signal. Secondly, two
prediction models based on artificial neural network (ANN) are
established respectively at the both side of the cycle slip. The
actual number of cycle slip can be determined through
comparing the difference of forecasting data of the two
prediction models. Finally, test results are presented to
demonstrate the feasibility and validity of the method.
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 Additional Information
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Index Terms- global positioning system (GPS); cycle slip;
wavelet transform; artifical neural networks.
Citation:
Tinghua Yi, Hongnan Li, Guoxin Wang,
"Cycle Slip Detection and Correction of GPS Carrier Phase Based on Wavelet Transform and Neural Network,"
isda,
pp. 46-50,
Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06),
2006
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