EMD filter method and its application in GPS multipath

Wu Jiao Dai, Xiaoli Ding, Jian Jun Zhu, Yong Qi Chen, Zhi Wei Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)


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.
Original languageChinese (Simplified)
Pages (from-to)321-327
Number of pages7
JournalActa Geodaetica et Cartographica Sinica
Issue number4
Publication statusPublished - 1 Nov 2006


  • EMD noise filter
  • Empirical mode decomposition
  • GPS
  • Multipath effects

ASJC Scopus subject areas

  • General Earth and Planetary Sciences

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