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A New Adaptive Extended Kalman Filter for Cooperative Localization | IEEE Journals & Magazine | IEEE Xplore

A New Adaptive Extended Kalman Filter for Cooperative Localization


Abstract:

To solve the problem of unknown noise covariance matrices inherent in the cooperative localization of autonomous underwater vehicles, a new adaptive extended Kalman filte...Show More

Abstract:

To solve the problem of unknown noise covariance matrices inherent in the cooperative localization of autonomous underwater vehicles, a new adaptive extended Kalman filter is proposed. The predicted error covariance matrix and measurement noise covariance matrix are adaptively estimated based on an online expectation-maximization approach. Experimental results illustrate that, under the circumstances that are detailed in the paper, the proposed algorithm has better localization accuracy than existing state-of-the-art algorithms.
Published in: IEEE Transactions on Aerospace and Electronic Systems ( Volume: 54, Issue: 1, February 2018)
Page(s): 353 - 368
Date of Publication: 25 September 2017

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