摘要
提出一种基于小波分解技术的监测数据处理方法,首先用小波技术把GPS双差残留分解为低频偏差与高频噪声部分,然后提取偏差成分直接用于校正同样误差成分所导致的GPS测量结果。讨论分析了所提方法用于监测实践时的结果,表明本文所提方法对于模糊度解算和基线的估计精度均有很大的提高。
This paper proposes a new method of data processing based on a wavelet decomposition technique. The wavelet technique is firstly applied to decompose the GPS double-differencial residuals into the low-frequency deviation and high-frequency noise. The extracted deviation component is then applied to directly correct the GPS measurements induced by the same error component.A discussion of the monitoring experimental results and analysis are presented. The results show that this method can improve both the solution of fuzzy degree and the estimation accuracy of the baseline components.
出处
《山东科技大学学报（自然科学版）》
CAS
2005年第2期17-19,共3页
Journal of Shandong University of Science and Technology(Natural Science)
关键词
GPS
小波变换
模糊度解
消噪
GPS
wavelet transform
solution of fuzzy degree
de-noising
