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The Positioning Accuracy of BAUV Using Fusion of Data from USBL System and Movement Parameters Measurements

机译:利用USBL系统的数据融合和运动参数测量结果,BAUV的定位精度

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摘要

The article presents a study of the accuracy of estimating the position coordinates of BAUV (Biomimetic Autonomous Underwater Vehicle) by the extended Kalman filter (EKF) method. The fusion of movement parameters measurements and position coordinates fixes was applied. The movement parameters measurements are carried out by on-board navigation devices, while the position coordinates fixes are done by the USBL (Ultra Short Base Line) system. The problem of underwater positioning and the conceptual design of the BAUV navigation system constructed at the Naval Academy (Polish Naval Academy—PNA) are presented in the first part of the paper. The second part consists of description of the evaluation results of positioning accuracy, the genesis of the problem of selecting method for underwater positioning, and the mathematical description of the method of estimating the position coordinates using the EKF method by the fusion of measurements with on-board navigation and measurements obtained with the USBL system. The main part contains a description of experimental research. It consists of a simulation program of navigational parameter measurements carried out during the BAUV passage along the test section. Next, the article covers the determination of position coordinates on the basis of simulated parameters, using EKF and DR methods and the USBL system, which are then subjected to a comparative analysis of accuracy. The final part contains systemic conclusions justifying the desirability of applying the proposed fusion method of navigation parameters for the BAUV positioning.
机译:这篇文章提出了使用扩展卡尔曼滤波(EKF)方法估算BAUV(仿生自主水下航行器)位置坐标的准确性的研究。融合了运动参数测量和位置坐标修正。运动参数的测量是通过车载导航设备进行的,而位置坐标的确定是通过USBL(超短基线)系统完成的。本文的第一部分介绍了水下定位问题以及在海军学院(波兰海军学院—PNA)建造的BAUV导航系统的概念设计。第二部分包括定位精度评估结果的描述,水下定位选择方法问题的成因,以及通过将测量结果与on-fuse融合使用EKF方法估算位置坐标的方法的数学描述。 USBL系统获得的电路板导航和测量结果。主要部分包含对实验研究的描述。它包含一个在导航BAUV期间沿测试段进行的导航参数测量的模拟程序。接下来,本文将介绍使用EKF和DR方法以及USBL系统基于模拟参数确定位置坐标,然后对精度进行比较分析。最后一部分包含系统结论,证明了将拟议的导航参数融合方法用于BAUV定位的必要性。

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