AN ADAPTIVE ATTITUDE ESTIMATIONFOR UNIDENTIFIED FLYING OBJECTS

Tien Dang Nguyen

Abstract


This paper presents a novel adaptive method for attitude estimation of unidentified flying object based on acceleration sensors and gyroscope sensors. Because the external acceleration is the main error source of estimation error. Therefore, in this paper, we proposed a new method, in which the extended Kalman filter is combined with compensating external acceleration to reduce the effect of measurement noise and increase the accuracy of estimation process. Finally, the simulation results are presented to demonstrate the effectiveness of the proposed estimation method.


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References


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