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Wavelet Denoising Technique for Improvement of the Low Cost MEMS-GPS Integrated System

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dc.contributor.authorKang, Chul Woo-
dc.contributor.authorKang, Chang Ho-
dc.contributor.authorPark, Chan Gook-
dc.date.accessioned2010-12-02T22:19:18Z-
dc.date.available2010-12-02T22:19:18Z-
dc.date.issued2010-10-27-
dc.identifier.citation2010 International Symposium on GPS/GNSS, Taipei, Taiwan, October 26-28, 2010en
dc.identifier.urihttps://hdl.handle.net/10371/70617-
dc.description.abstractIn this paper, wavelet signal processing technique is
applied to improving navigation signals. Low cost MEMS
signals can be distorted with conventional pre-filtering
method such as low-pass filtering which causes unwanted
smoothing on real signals. However, wavelet thresholding
method does not distort the rapidly-changing signal but
reduces signal noise. This paper has applied thresholding
method to low cost MEMS/GPS integrated navigation
system and verified the improvement of the navigation
performance by the experiment.
en
dc.description.sponsorshipDAPA/ADDen
dc.language.isoenen
dc.subjectlow cost MEMS/GPS integrated systemen
dc.subjectWavelet denoisingen
dc.subjectMEMS inertial sensoren
dc.titleWavelet Denoising Technique for Improvement of the Low Cost MEMS-GPS Integrated Systemen
dc.typeConference Paperen
dc.contributor.AlternativeAuthor강철우-
dc.contributor.AlternativeAuthor강창호-
dc.contributor.AlternativeAuthor박찬국-
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