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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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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.
Low cost micro electromechanical system inertial/global positioning system integrated system;Wavelet denoising;Micro electromechanical system inertial sensor;
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