Adaptive packet selection for clock recovery

I. Hadžić, D. Morgan
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引用次数: 32

Abstract

Packet delay variation (PDV) is a dominant source of noise in packet-based synchronization systems. To filter this type of noise, many clock recovery algorithms select packets based on the sample-minimum statistic of the network transit time. Although such a filter can be very effective in certain types of networks, there are just as many networks and background traffic patterns for which sample-minimum is far from optimal. In this paper, we propose a filter that dynamically evaluates multiple packet selection criteria and selects the one that currently minimizes the noise. We also present the results of an experimental evaluation of the new adaptive filter.
时钟恢复的自适应包选择
在基于分组的同步系统中,分组延迟变化(PDV)是主要的噪声来源。为了过滤这种类型的噪声,许多时钟恢复算法根据网络传输时间的样本最小统计来选择数据包。尽管这样的过滤器在某些类型的网络中可能非常有效,但是对于许多网络和后台流量模式,样本最小值远不是最优的。在本文中,我们提出了一个过滤器,它动态地评估多个数据包选择标准,并选择当前噪声最小的一个。我们还给出了新的自适应滤波器的实验评价结果。
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