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Tracking Low-Precision Clocks With Time-Varying Drifts Using Kalman Filtering

机译:使用卡尔曼滤波跟踪具有时变漂移的低精度时钟

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Clock synchronization is essential for a large number of applications ranging from performance measurements in wired networks to data fusion in sensor networks. Existing techniques are either limited to undesirable accuracy or rely on specific hardware characteristics that may not be available in certain applications. In this paper, we examine the clock synchronization problem in networks where nodes lack the high-accuracy oscillators or programmable network interfaces some previous protocols depend on. This paper derives a general model for clock offset and skew and demonstrates its application to real clock oscillators. We design an efficient algorithm based on this model to achieve high synchronization accuracy. This algorithm applies the Kalman filter to track the clock offset and skew. We demonstrate the performance advantages of our schemes through extensive simulations and real clock oscillator measurements.
机译:时钟同步对于从有线网络中的性能测量到传感器网络中的数据融合等众多应用都是必不可少的。现有技术要么限于不希望的精度,要么依赖于某些应用中可能无法获得的特定硬件特性。在本文中,我们研究了节点缺乏高精度振荡器或某些先前协议所依赖的可编程网络接口的网络中的时钟同步问题。本文推导了时钟偏移和偏斜的通用模型,并演示了其在实际时钟振荡器中的应用。我们基于此模型设计了一种高效的算法,以实现较高的同步精度。该算法应用卡尔曼滤波器来跟踪时钟偏移和偏斜。我们通过广泛的仿真和实际时钟振荡器测量来证明我们的方案的性能优势。

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