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An Accurate Clock Synchronization Method among Moving Objects Based on Maximum Likelihood Estimation

机译:基于最大似然估计的运动对象之间的精确时钟同步方法

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We consider a problem of accurate clock synchronization among multiple moving objects in a three-dimensional (3D) region. To estimate clock offset between two objects, One Way Ranging and Two Way Ranging methods have been commonly applied, but in this paper, we first reveal that they do not perform accurately at all when they are in motion. Next, to solve the problem, we propose a clock offset estimation method among two objects, where each object broadcasts not only its own clock information but also its own location information. The proposed clock offset estimation method is based on Maximum Likelihood (ML) estimation taking into consideration that the measured distance between them is not Gaussian- but 3D-Rician-distributed. Then, we propose a clock synchronization method among multiple objects using the ML-based clock offset estimation results, which is Based on a consensus algorithm. In computer simulation, we show that the proposed clock synchronization method is effective, achieving the clock synchronization accuracy of less than ten nanoseconds among ten moving objects, accuracy of which is required for future wireless communication tools among moving cellular base stations.
机译:我们考虑一个在三维(3D)区域中的多个运动对象之间的精确时钟同步的问题。为了估计两个对象之间的时钟偏移,普遍使用了“单向测距”和“双向测距”方法,但是在本文中,我们首先揭示了它们在运动时根本无法准确执行。接下来,为了解决该问题,我们提出了两个对象之间的时钟偏移估计方法,其中每个对象不仅广播其自身的时钟信息,而且广播其自身的位置信息。所提出的时钟偏移估计方法基于最大似然(ML)估计,同时考虑到它们之间的测量距离不是高斯分布,而是3D-Rician分布。然后,基于共识算法,利用基于ML的时钟偏移估计结果,提出了多个对象之间的时钟同步方法。在计算机仿真中,我们证明了所提出的时钟同步方法是有效的,在十个移动物体之间实现了小于十纳秒的时钟同步精度,而对于未来的移动蜂窝基站之间的无线通信工具,其时钟同步精度是必需的。

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