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《Acta Geodaetica et Cartographica Sinica》 2006-04
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EMD Filter Method and Its Application in GPS Multipath

DAI Wu-jiao~1,DING Xiao-li~2,ZHU Jian-jun~1,CHEN Yong-qi~(1,2),LI Zhi-Wei~(1,2)(1.Department of Survey Engineering and Geomatics,Central South University,Changsha 410083,China;2.Department of Land Surveying and Geo-informatics,Hong Kong Polytechnic University,Hong Kong,China)  
Empirical Mode Decomposition(EMD) is a relatively new signal processing technique.It starts from the data itself to decompose the signals in spatial domain,so it can discriminate the signals from the noise.A noise filter(EMD noise filter hereinafter) based on the characteristic of IMF(intrinsic mode function) is developed.Then,simulated data and real data(i.e.,GPS data) are used to test the method separately.The following are the conclusions drawn from these tests: ① EMD noise filter can better mitigate the random errors.Compared with wavelet method,it is more straightforward,and not subject to the effects from the selection of certain wavelet function.(② EMD) noise filter is more efficient in eliminating instantaneous strong noise than the wavelet method.It therefore can better extract and thus model the repeatability of the multipath errors,which is crucial in mitigating the errors.
【Fund】: 国家自然科学基金资助项目(40574003 40404001)
【CateGory Index】: P228.4
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