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Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Changho | - |
dc.contributor.author | Kim, Sunyoung | - |
dc.contributor.author | Park, Changook | - |
dc.date.accessioned | 2012-02-15T07:14:03Z | - |
dc.date.available | 2012-02-15T07:14:03Z | - |
dc.date.issued | 2011-12 | - |
dc.identifier.citation | Int’l J. of Aeronautical & Space Sci. 12(4), 371–378 | ko_KR |
dc.identifier.issn | 2093-6742 | - |
dc.identifier.uri | https://hdl.handle.net/10371/75219 | - |
dc.description.abstract | In this paper, the wavelet denoising techniques using thresholding method are applied to the low cost micro electromechanical
system (MEMS)-global positioning system(GPS) integrated system. This was done to improve the navigation performance. The low cost MEMS signals can be distorted with conventional pre-filtering method such as low-pass filtering method. However, wavelet denoising techniques using thresholding method do not distort the rapidly-changing signals. They can reduce the signal noise. This paper verified the improvement of the navigation performance compared to the conventional pre-filtering by simulation and experiment. | ko_KR |
dc.description.sponsorship | DAPA/ADD/NGRC | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | International Journal of Aeronautical & Space Sciences | ko_KR |
dc.subject | Low cost MEMS inertial/GPS integrated system | ko_KR |
dc.subject | Wavelet denoising | ko_KR |
dc.subject | MEMS inertial sensor | ko_KR |
dc.title | Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 강창호 | - |
dc.contributor.AlternativeAuthor | 김선영 | - |
dc.contributor.AlternativeAuthor | 박찬국 | - |
dc.identifier.doi | 10.5139/IJASS.2011.12.4.371 | - |
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