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A Refined Localization Method for Underwater Tetherless Sensor Networks

机译:一种水下线索传感器网络的精细定位方法

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An accurate localization scheme is essential to many underwater sensor applications. However, due to the persistent existence of uncertainties and measurement errors, an accurate localization is very difficult to achieve. The communication cost is much higher in underwater networks compared to terrestrial networks and this calls for more accurate localization schemes even if they involve more computational burden. In the paper, a scheme based on minimum mean absolute error (MMAE) is introduced and extensive simulation results are presented to compare this and the commonly used minimum mean squared error (MMSE) method. Both uniform error distribution and normal error distribution are considered. Our results indicate that MMAE clearly result in better localization accuracy when compared to MMSE.
机译:准确的本地化方案对于许多水下传感器应用至关重要。但是,由于不确定的存在持续存在和测量误差,难以实现的准确定位。与地面网络相比,水下网络的通信成本高得多,并且对于更准确的本地化方案,即使它们涉及更多的计算负担。本文介绍了一种基于最小平均绝对误差(MMAE)的方案,并提出了广泛的模拟结果以比较此和常用的最小均方误差(MMSE)方法。考虑均匀的误差分布和正常错误分布。我们的结果表明,与MMSE相比,MMAE明显导致了更好的本地化精度。

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