Improvement of a Low Cost MEMS Inertial-GPS Integrated System Using Wavelet Denoising Techniques
Chang Ho Kang, Sun Young Kim and Chan Gook Park
International Journal of Aeronautical and Space Sicences, vol. 12, no. 4, pp.371-378, 2011
Abstract : In this paper, the wavelet denoising techniques using thresholding method are applied to the low cost micro electromechanical system (MEMS)-global positioning system 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 [method?] by simulation and experiment.
Keyword : Low cost micro electromechanical system inertial/global positioning system integrated system, Wavelet denoising, Micro electromechanical system inertial sensor |