Denoising Simulation Study for MEMS Gyro Dynamic Running

Abstract:

At present MEMS inertial devices is unable to satisfy the precision request of the inertial posture measurement system. This paper has designed a gyro dynamic data generator for simulation according to the gyro signal characteristics.The signal produced by the generator is specified as the gyro data and the optimal estimator for data fusion is designed by using the Kaman filter algorithm.The multi-segment data is analyzed and identified while the optimal data is estimated .The results show no matter how the correlation of the data is, the fusion data has attenuation of 10dB in noise, with its signal-to-noise ratio being enhanced more than 2 times at least.

• Periodical: Advanced Materials Research (Volumes 518-523)
• Pages: 3800-3804
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.518-523.3800
• Online since: May 2012
• Authors: Su Zhen Wang, Tao Wang, Zheng Yan Wang
• Keywords: Data Generator, De-Noising, Kaman Filter Algorithm, MEMS Inertial Devices

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