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Application of the Kalman Filter in the Sonar Altimeter of the Underwater Glider
Abstract:
Based on the standard Kalman filter, considering the actual problems of the sonar altimeter is susceptible to the environment and its accuracy is poor, put forward a kind of adaptive algorithm based on n iterations to adjust observation noise. By adjusting the observation noise covariance, to make it more close to the actual value, so as to improve the accuracy of the altimeter data. Experiment show that the algorithm is effective.
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482-486
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Online since:
December 2013
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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