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基于CLEAN算法的GPS监测数据处理方法
引用本文:张巨林.基于CLEAN算法的GPS监测数据处理方法[J].北京测绘,2020(3):412-416.
作者姓名:张巨林
作者单位:广东南方数码科技股份有限公司
摘    要:对建筑物进行高精度的变形监测是后期信息提取,预防安全隐患的基础。针对GPS变形监测中存在的多径误差问题,本文提出一种基于CLEAN算法的GPS多径提取方法,首先对多径信号理论模型进行分析,结果表明多径信号可以作为直达信号的谐波分量,在此基础上利用CLEAN算法在频域对多径信号进行提取,基于仿真和实测数据的实验结果表明,所提方法相对于小波方法和经验模态分解(Empirical Mode Decomposition,EMD)方法具有更高的提取精度和更好的多径抑制性能。

关 键 词:多径效应  CLEAN算法  谐波分量

GPS Monitoring Data Processing Method Based on CLEAN Algorithm
ZHANG Julin.GPS Monitoring Data Processing Method Based on CLEAN Algorithm[J].Beijing Surveying and Mapping,2020(3):412-416.
Authors:ZHANG Julin
Institution:(Guangdong South Digital Technology Company Limited, Guangzhou Guangdong 510000, China)
Abstract:High-precision deformation monitoring of buildings is the basis for the late information extraction and the effective prevention of safety hazards in advance.In order to solve the problem of multi-path error in GPS deformation monitoring,this paper proposes a GPS multi-path extraction method based on CLEAN algorithm.Firstly,the theoretical model of multi-path signal is analyzed.The results show that multi-path signal can be used as the harmonic component of direct signal.On the basis of this,multiple path signals are extracted in the frequency domain using the CLEAN algorithm.The experimental results based on simulation and experimental data show that the proposed method is relative to the wavelet method and empirical modal decomposition.EMD method has higher extraction accuracy and better multi-path inhibition performance.
Keywords:multi-path effect  CLEAN algorithm  harmonic components
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