The possibility to improve the accuracy of angular velocity estimate by optimally combining multiple individual micro electromechanical systems (MEMS) gyroscopes is analyzed in this paper. Kalman filter (KF) is used to fuse the numerous measurements into a single improved rate estimate. Based on the virtual gyro idea, a revised approach can give an unbiased estimator regardless of the true angular velocity signal. Numerical simulations are performed to demonstrate the desirable performance, reducing the bias drift and noise.

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