PCA-CLEAN算法在GPS序列多径噪声抑制中的应用
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摘要
针对短基线差分GPS测量中面临的多径效应问题,提出一种基于主成分分析(Principal Component Analysis,PCA)和CLEAN算法的GPS序列多径噪声抑制方法。首先利用PCA方法对GPS序列进行特征分解,并自适应确定GPS序列中谐波分量个数;然后用傅里叶变换将信号转换到频域,利用CLEAN算法在频域对谐波信号进行提取;最后通过剔除剩余信号的方式得到噪声抑制后的GPS序列。基于仿真和实测数据开展相关试验对所提方法进行验证并与传统小波去噪方法进行对比。结果表明,所提方法可以获得更好的噪声抑制性能,能够应用于短基线GPS测量的多径误差抑制。
This paper proposed a denosing method based on PCA-CLEAN algorithm to mitigate the multipath effects in short baseline double-difference GPS observation.Firstly,principal component analysis(PCA)is applied to the GPS signal to determine the number of harmonic component.Then CLEAN algorithm is utilized to extract each harmonic component in frequency domain and the denosing signal is obtained by eliminating the rest component.Experimental results based on simulated data and measured data showed that the proposed method can achieve better denosing results than wavelet decomposition based denosing method and can be used in short baseline double-difference GPS observation.
This paper proposed a denosing method based on PCA-CLEAN algorithm to mitigate the multipath effects in short baseline double-difference GPS observation.Firstly,principal component analysis(PCA)is applied to the GPS signal to determine the number of harmonic component.Then CLEAN algorithm is utilized to extract each harmonic component in frequency domain and the denosing signal is obtained by eliminating the rest component.Experimental results based on simulated data and measured data showed that the proposed method can achieve better denosing results than wavelet decomposition based denosing method and can be used in short baseline double-difference GPS observation.
引文
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[10]DU Lan,WANG Baoshuai,LI Yanbing,et al.Robust Classification Scheme for Airplane Targets with Low Resolution Radar Based on EMD-CLEAN Feature Extraction Method[J].IEEE Sensors J,2013,13(12):4648-4662.
[2]刘拥军,胡捍英.GPS接收机多径抑制算法研究[J].电子对抗,2009,126(3)27-30.
[3]戴永财,朱建军.GPS接收机内噪声水平的评价与检测方法[J].北京测绘,2007(1),14-19.
[4]张旭飞.采用方差-协方差分量估计GPS时间序列噪声特性[J].北京测绘,2017(4),33-37.
[5]李敬唐.奇异谱分析滤波法及其在GPS多路径去噪中的应用[J].测绘地理信息,2017,42(3):10-13.
[6]李杰,吴仁彪.基于信号分离估计理论的GPS多径抑制算法[J].信号处理,2011,27(12):1884-1888.
[7]张双成,何月帆.EMD用于GPS时间序列降噪分析[J].大地测量与地球动力学,2017,37(12):1248-1252.
[8]贾瑞生,赵同彬.基于经验模态分解及独立成分分析的微震信号降噪方法[J].地球物理学报,2015,58(3):1013-1023.
[9]朱辉.小波变换用于建筑物变形监测精度的确定与评价[J].北京测绘,2014(6):32-35.
[10]DU Lan,WANG Baoshuai,LI Yanbing,et al.Robust Classification Scheme for Airplane Targets with Low Resolution Radar Based on EMD-CLEAN Feature Extraction Method[J].IEEE Sensors J,2013,13(12):4648-4662.