会议专题

Study on Methods of Filtering the Random Noise from GPS CV Observed Data

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-noisc 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.

GPS CV Random noise Wavelet transform filtering noise

Li Bian Qu Lili Gao Yuping

the Graduate School of the Chinese Academy of Sciences, Beijing, China National Time Service Center, Chinese Academy of Sciences, Xian, China

国际会议

Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

成都

英文

225-230

2011-04-15(万方平台首次上网日期,不代表论文的发表时间)