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A Study of Underwater Terrain Navigation based on the Robust Matching Method

机译:基于鲁棒匹配方法的水下地形导航研究

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摘要

Outliers in terrain data are an obstacle to achieving accurate and robust solutions of Underwater Terrain Relative Navigation (UTRN). If not handled properly, navigation may be degraded or even divergent. To address the problem, this paper proposes a terrain-matching algorithm based on the robust estimation theory. In contrast to the conventional approach, the proposed algorithm can significantly reduce the interference of the outliers. Experimental results confirm the good performance of the proposed method.
机译:地形数据中的异常值是实现水下地形相对导航(UTRN)的准确而可靠的解决方案的障碍。如果处理不当,导航可能会降级甚至分散。针对这一问题,本文提出了一种基于鲁棒估计理论的地形匹配算法。与传统方法相比,该算法可以显着减少离群值的干扰。实验结果证实了该方法的良好性能。

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