Robust smoothing to improve position estimates of vocalizing marine mammals

I. Urazghildiiev, C. Clark
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引用次数: 1

Abstract

The problem of robust smoothing of position estimates provided by passive localization methods is considered. A new robust statistic is introduced, and the smoothing algorithm is represented in the closed form. The proposed technique is based on a priori information regarding the maximum speed of the animal and the typical accuracy provided by the measuring system. The test results demonstrate that the proposed smoother provides a high degree of position estimate accuracy when more than 50% of the initial position estimates are contaminated by outliers.
鲁棒平滑改进发声海洋哺乳动物的位置估计
研究了被动定位方法提供的位置估计的鲁棒平滑问题。引入了一种新的鲁棒统计量,并用封闭形式表示平滑算法。所提出的技术是基于有关动物的最大速度和测量系统提供的典型精度的先验信息。实验结果表明,当初始位置估计的50%以上被异常值污染时,所提出的平滑器提供了很高的位置估计精度。
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