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Wavelet Denoising Technique for Improvement of the Low Cost MEMS-GPS Integrated System
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Chul Woo | - |
dc.contributor.author | Kang, Chang Ho | - |
dc.contributor.author | Park, Chan Gook | - |
dc.date.accessioned | 2010-12-02T22:19:18Z | - |
dc.date.available | 2010-12-02T22:19:18Z | - |
dc.date.issued | 2010-10-27 | - |
dc.identifier.citation | 2010 International Symposium on GPS/GNSS, Taipei, Taiwan, October 26-28, 2010 | en |
dc.identifier.uri | https://hdl.handle.net/10371/70617 | - |
dc.description.abstract | In 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.sponsorship | DAPA/ADD | en |
dc.language.iso | en | en |
dc.subject | low cost MEMS/GPS integrated system | en |
dc.subject | Wavelet denoising | en |
dc.subject | MEMS inertial sensor | en |
dc.title | Wavelet Denoising Technique for Improvement of the Low Cost MEMS-GPS Integrated System | en |
dc.type | Conference Paper | en |
dc.contributor.AlternativeAuthor | 강철우 | - |
dc.contributor.AlternativeAuthor | 강창호 | - |
dc.contributor.AlternativeAuthor | 박찬국 | - |
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