论文标题
近似与温度变化的时间偏移同步的最佳估计
Approximating Optimal Estimation of Time Offset Synchronization with Temperature Variations
论文作者
论文摘要
本文解决了在存在温度变化的情况下，时间偏移的问题，这导致了非高斯环境。在这种情况下，常规的卡尔曼过滤表明是次优的。开发了一种功能优化方法，以近似主时钟和从属之间的时钟偏移。基于常规的神经网络培训，为此目标提供了数值近似。基于样条回归，还提供了其他启发式方法。广泛的性能评估突出了所提出的技术的好处，可以轻松地将其推广到几个时钟同步协议和操作环境。
The paper addresses the problem of time offset synchronization in the presence of temperature variations, which lead to a non-Gaussian environment. In this context, regular Kalman filtering reveals to be suboptimal. A functional optimization approach is developed in order to approximate optimal estimation of the clock offset between master and slave. A numerical approximation is provided to this aim, based on regular neural network training. Other heuristics are provided as well, based on spline regression. An extensive performance evaluation highlights the benefits of the proposed techniques, which can be easily generalized to several clock synchronization protocols and operating environments.
