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基于小波分析的动态GPS监测序列噪声分析
引用本文:岳顺,翟长治,李小奇. 基于小波分析的动态GPS监测序列噪声分析[J]. 黑龙江工程学院学报, 2014, 0(1): 30-33
作者姓名:岳顺  翟长治  李小奇
作者单位:[1]河海大学地球科学与工程学院,江苏南京210098 [2]河海大学水利水电学院,江苏南京210098
摘    要:基于小波的多分辨率功能,对苏通大桥索塔高频度监测数据序列进行多层分解,将不同频级的噪声序列分离出来.然后借助噪声分析方法,估算每层噪声序列的谱指数,进而对噪声进行判别,结果表明GPS动态监测数据主要含有白噪声与闪烁噪声,而随机漫步噪声不明显,为后续大桥监测数据处理、信号降噪、误差分析提供参考.

关 键 词:GPS监测序列  多分辨率  小波分解  噪声  谱指数

Noise analysis of dynamic GPS monitoring sequence based on wavelet analysis
YUE Shun,ZHAI Zhang-zhi,LI Xiao-qi. Noise analysis of dynamic GPS monitoring sequence based on wavelet analysis[J]. Journal of Heilongjiang Institute of Technology, 2014, 0(1): 30-33
Authors:YUE Shun  ZHAI Zhang-zhi  LI Xiao-qi
Affiliation:1. College of Earth Science and Engineering, Hehai University, Nanjing 210098; 3. College of Water Conservancy and Hydropower Engineering, Hehai University, Nanjing 210098)
Abstract:Based on wavelet multi-resolution function, it presents the multilayer decomposition of Sutong Bridge pylon high frequency monitoring data sequence, and levels the noise sequences of different frequency. Then it estimates the spectral index of each noise sequence by using noise analysis method, thereby discriminating against noise. The result shows that the GPS dynamic monitoring data contains mainly white noise and flicker noise,while random walk noise is not obvious. It can provide a reference for the subsequent processing, noise reduction and error analysis of the bridge monitoring data.
Keywords:GPS monitoring sequence  multi-resolution  wavelet decomposition  noise  spectral index
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