无线传感器网络中低功耗射频通信的符号同步实现

N. MacEwen, L. Crockett, E. Pfann, R. Stewart
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引用次数: 4

摘要

斑点计算是一种由小节点组成的无线传感器网络的新愿景,这些小节点可以无线感知、计算和联网。单个节点的能力和处理资源有限,但它们共同构成了一个强大的处理系统。在这样的体积下,电力资源受到严重限制,因此设计决策以低功耗为第一优先级。这项工作检查了曼彻斯特编码在数字收发器中的使用,以减少符号同步的复杂性。一种曼彻斯特解码器已经实现,它具有容忍振荡器不精度的有用特性,允许使用廉价和低功耗的时钟源。使用矩形脉冲整形和8过采样比的解码器的实际实现允许片上振荡器容差超过11%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symbol Synchronisation Implementation for Low-Power RF Communication in Wireless Sensor Networks
Speckled computing is a novel vision of a wireless sensor network consisting of small nodes which can sense, compute and network wirelessly. The nodes individually have limited power and processing resources, but together forms a powerful processing system. Electrical power resources at such a volume are severely restricted, and as such design decisions are made with low-power as the first priority. This work examines the use of Manchester encoding in the digital transceiver to reduce the complexity of symbol synchronisation. A Manchester decoder has been implemented which has the useful property of being tolerant to oscillator inaccuracies, allowing a cheap and low-power clock source to be employed. A realistic implementation of the decoder using rectangular pulse-shaping and an oversampling ratio of 8 allows an on-chip oscillator tolerance of more than 11%
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