Online Calibration of Inertial Sensors Using Kalman Filters and Artificial Neural Networks
نویسندگان
چکیده
Navigation is defined as finding the position of a moving vehicle and inertial navigation is among these methods. Unfortunately, inertial navigation has errors due to different reasons such as inertial sensors. These errors must be corrected by some means. In this paper, a method based on Kalman filters and artificial neural networks is introduced to calibrate inertial sensors during the navigation. Moreover, the proposed method provides better accuracy of the sensor models, when the navigation aid is not present for some times. Simulation results show the effectiveness of the proposed method as compared to the Kalman filter.
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تاریخ انتشار 2009