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A combined hardware-software approach for acoustic sensor network synchronization

机译：声音传感器网络同步的组合软硬件方法

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摘要

In this paper we present an approach for synchronizing a wireless acoustic sensor network using a two-stage procedure. First the clock frequency and phase differences between pairs of nodes are estimated employing a two-way message exchange protocol. The estimates are further improved in a Kalman filter with a dedicated observation error model. In the second stage network-wide synchronization is achieved by means of a gossiping algorithm which estimates the average clock frequency and phase of the sensor nodes. These averages are viewed as frequency and phase of a virtual master clock, to which the clocks of the sensor nodes have to be adjusted. The amount of adjustment is computed in a specific control loop. While these steps are done in software, the actual sampling rate correction is carried out in hardware by using an adjustable frequency synthesizer. Experimental results obtained from hardware devices and software simulations of large scale networks are presented.
机译：在本文中，我们提出了一种使用两步过程同步无线声学传感器网络的方法。首先，使用双向消息交换协议来估计节点对之间的时钟频率和相位差。在具有专用观察误差模型的卡尔曼滤波器中，进一步改善了估计值。在第二阶段，网络中的同步是通过八卦算法实现的，该算法估计传感器节点的平均时钟频率和相位。这些平均值被视为虚拟主时钟的频率和相位，必须将传感器节点的时钟调整为该频率和相位。调整量在特定的控制回路中计算。尽管这些步骤是在软件中完成的，但实际的采样率校正是通过使用可调频率合成器在硬件中进行的。给出了从大型网络的硬件设备和软件仿真获得的实验结果。

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