Study on GPS Common-View Observation Data With Multiscale Kalman Filter Based on Correlation Structure of the Discrete Wavelet Coefficients

Ou Xiaojuan, Zhou Wei, Yu Jianguo

Abstract:	In this paper, we pay our attention to the multiscale kalman algorithm based on correlation structure of the discrete wavelet coefficients for the restoration of the GPS common-view observation data. Based on the hypotheses of that the GPS common-view observation data being pretreatment possess of 1/f fractal characteristics. In this condition, we estimate the Hurst parameter of GPS clock difference data based upon the wavelet transform. When 0
Published in:	Proceedings of the 37th Annual Precise Time and Time Interval Systems and Applications Meeting August 29 - 31, 2005 Vancouver, Canada
Pages:	685 - 690
Cite this article:	Xiaojuan, Ou, Wei, Zhou, Jianguo, Yu, "Study on GPS Common-View Observation Data With Multiscale Kalman Filter Based on Correlation Structure of the Discrete Wavelet Coefficients," Proceedings of the 37th Annual Precise Time and Time Interval Systems and Applications Meeting, Vancouver, Canada, August 2005, pp. 685-690.
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