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Proceedings Paper

Study on methods of filtering the random noise from GPS CV observed data
Author(s): Bian Li; Lili Qu; Yuping Gao
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Paper Abstract

Measuring noise becomes one of the major factors to influence comparison result precision after correcting each time delay error in GPS Common View (GPS CV) comparison data. So it is the key to filter and smooth measuring noises of GPS CV observed data, which affect the precision for GPS CV comparison results directly. In order to eliminate GPS CV measuring noises, the de-noise mean on wavelet transform was studied. The method of threshold wavelet de-noise is to use wavelet transform technique to decompose and reconstruct signal with noise, and confine the thresholds of wavelet coefficients so as to eliminate the noise from signal. This paper presents an application of the wavelet threshold de-noise to filtering random noise from GPS observed data. The results show that wavelet filtering noise methods are effective and satisfied in filtering GPS CV measuring noises.

Paper Details

Date Published: 8 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800917 (8 July 2011); doi: 10.1117/12.896154
Show Author Affiliations
Bian Li, Graduate School of the Chinese Academy of Sciences (China)
Lili Qu, National Time Service Ctr. (China)
Yuping Gao, National Time Service Ctr. (China)

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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