NOISE RECOGNITION AND EXTRACTION OF GPS HEIGHT
TIME SERIES BASED ON EEMD
1）School of Geomatics，Liaoning Technical University，Fuxin 123000
2）Key Laboratory of Geoinformatics of State Bureau of Surveying and Mapping，Beijing 100830
3）Quality Inspection and Test Center of National Surveying and Mapping Products，Beijing 100830
Abstract A new signal denoising method based on ensemble empirical mode decomposition is presented.Firstly the signal is decomposed by EEMD.The boundary of signal and noise is identified primarily based on consecutive mean squared error criterion.Finally the indexes of mean period and energy density also their product are used for the signal denoising.The denoising effect is presented and valid through GPS height time series experience of two national CORS stations.
