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- W2766829835 abstract "The challenge in the Autonomous Underwater Vehicle (AUV) navigation technology is how to ensure precise localization accurately. Extended Kalman filter (EKF) is the most widely used navigation method. Despite its long successful application, EKF has a number of problems in application, for instance, the system motion model usually not appropriate to be described as a linear system. This paper proposed a modified algorithm which combined the Least Squares with Extended Kalman Filter (LS-EKF). The experimental results show that the navigation accuracy of the AUV based on LS-EKF is higher than the EKF." @default.
- W2766829835 created "2017-11-10" @default.
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- W2766829835 date "2017-06-01" @default.
- W2766829835 modified "2023-09-23" @default.
- W2766829835 title "Application of modified EKF algorithm in AUV navigation system" @default.
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- W2766829835 doi "https://doi.org/10.1109/oceanse.2017.8084626" @default.
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