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Sea currents estimation during AUV navigation using Unscented Kalman Filter

机译:使用Unscented Kalman滤波器的AUV导航期间海流估计

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An Unscented Kalman Filter (UKF) able to estimate the direction and the magnitude of a priori unknown marine currents is described in the paper; the currents estimation is performed during the navigation of an Autonomous Underwater Vehicle (AUV) together with the estimation of the vehicle navigation state. The filter here proposed is born augmenting the state of an UKF previously developed by the same authors. The proposed approach is validated offline exploiting the data of the onboard sensors of MARTA AUV (MArine Robotic Tool for Archaeology), collected during recent sea trials in La Spezia, Italy. In the near future the algorithm will be implemented onboard the vehicle to carry out an online estimation of the marine currents.
机译:纸张中描述了一种能够估计先验未知船舶电流的方向和幅度的无人的卡尔曼滤波器(UKF);随着车辆导航状态的估计,在自主水下车辆(AUV)的导航期间执行电流估计。这里提出的过滤器突出了以前由同一作者开发的UKF的状态。验证了拟议的方法是开采的,利用Marta Auv(船舶机器人工具用于考古学)的数据,从而在意大利La Spezia的海洋试验中收集。在不久的将来,算法将在车辆上实施,以进行海流的在线估计。

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