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Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques
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 Title & Authors
Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques
Kang, Chang-Ho; Kim, Sun-Young; Park, Chan-Gook;
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 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.
 Keywords
Low cost micro electromechanical system inertial/global positioning system integrated system;Wavelet denoising;Micro electromechanical system inertial sensor;
 Language
English
 Cited by
1.
A New Technique for Integrating MEMS-Based Low-Cost IMU and GPS in Vehicular Navigation, Journal of Sensors, 2016, 2016, 1  crossref(new windwow)
2.
2D Human Gesture Tracking and Recognition by the Fusion of MEMS Inertial and Vision Sensors, IEEE Sensors Journal, 2014, 14, 4, 1160  crossref(new windwow)
3.
Robust wavelet-based inertial sensor error mitigation for tightly coupled GPS/BDS/INS integration during signal outages, Survey Review, 2016, 1  crossref(new windwow)
4.
An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope, Frontiers of Optoelectronics, 2015, 8, 4, 413  crossref(new windwow)
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