Improvements in The Sensitivity Of Mems Based Gyroscope For Military Applications

Abstract

In this paper, we have devised a novel approach for processing the output signal of the micro electro-mechanical systems (MEMS) gyroscopes for the reduction of noise. The main principles on which the model is developed are Allan Variance and Kalman Filtering. The true angular rate signal in all the three directions were directly modeled to obtain an optimal estimate and to develop a self-compensation for the system without the need of any other sensor information, whether in static or dynamic condition. The Allan variance equation was implemented in order to obtain the noise reactivity of gyroscope and to model the noise components. Then, an optimal Kalman filter model was designed and developed to filter-out the noise and provide an ideal or a likely ideal output, which is noise free. A filtering model for a three-dimensional gyroscope is designed, developed and implemented.