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Navigation of an underwater vehicle using AHRS and depth sensor

机译:使用AHRS和深度传感器导航水下车辆

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This paper describes a localization method of an underwater vehicle. The method uses the measurements from Attitude Heading Reference System (AHRS), depth sensor, and Doppler velocity log (DVL). Generally, AHRS has been used for attitude estimation, and the velocity by the DVL is transformed to the velocity in Earth fixed coordinate system using the estimated attitude. Then, the velocity is integrated to calculate the location of an underwater vehicle. This paper proposes a method that uses depth measurement for improvement of the location estimation. The method augments the estimation state to include the depth along with roll, pitch and yaw. EKF approach is used for estimation of attitude and location of the vehicle. Simulation results verify the improvements through fusion of depth measurement. Though depth measurement carries only the information of z coordinate of the robot location, fusing the depth improves localization accuracy in x and y coordinate as well as z coordinate.
机译:本文介绍了水下车辆的定位方法。该方法使用姿态标题参考系统(AHRS),深度传感器和多普勒速度日志(DVL)的测量。通常,AHRS已被用于姿态估计,并且使用估计的姿态将DVL的速度转换为地球固定坐标系中的速度。然后,集成速度以计算水下车辆的位置。本文提出了一种利用深度测量来改进位置估计的方法。该方法增加了估计状态,包括深度以及辊,间距和偏航。 EKF方法用于估计车辆的姿态和位置。仿真结果验证了深度测量融合的改进。尽管深度测量仅携带机器人位置的z坐标的信息,但是融合深度可以提高x和y坐标的定位精度以及z坐标。

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