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.
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