东南大学学报（英文版）2022，Vol.38Issue(2)：178-185,8.DOI:10.3969/j.issn.1003-7985.2022.02.010
一种用于削弱GNSS多路径误差的组合滤波方法
Combined filter method for weakening GNSS multipath error
摘要
Abstract
A filter method that combines ensemble empirical modal decomposition(EEMD)and wavelet analysis methods was proposed to separate and correct the global navigation satellite system(GNSS)multipath error more effectively.In this method,the GNSS signal is first decomposed into several intrinsic mode functions(IMFs)and a residual through EEMD.Then,the IMFs and residual are classified into noise terms,mixed terms,and useful terms according to a combined classification criterion.Finally,the mixed term denoised by wavelet and the useful term are reconstructed to obtain the multipath error and thus enable an error correction model to be built.The measurement data provided by the Curtin GNSS Research Center were used for processing and analysis.Results show that the proposed method can separate multipath error from GNSS data to a great extent,thereby effectively addressing the defects of EEMD and wavelet methods on multipath error weakening.The error correction model established with the separated multipath error has a higher accuracy and provides a certain reference value for research on related signal processing.关键词
集合经验模态分解(EEMD)/小波分析/多路径误差/全球导航卫星系统(GNSS)Key words
ensemble experience modal decomposition(EEMD)/wavelet analysis/multipath error/global navigation satellite system(GNSS)分类
天文与地球科学引用本文复制引用
郭树森,于先文,龙凤阳,王家福..一种用于削弱GNSS多路径误差的组合滤波方法[J].东南大学学报（英文版）,2022,38(2):178-185,8.基金项目
The National Natural Science Foundation of China(No.41974030),the Postgraduate Research&Practice Innovation Pro-gram of Jiangsu Province(No.KYCX17_0150). （No.41974030）
