| 支绍龙,吴玉泉,隋天宇,尹力,黄海宁.一种改进的唤醒信号能量检测算法及其应用研究[J].声学技术,2012,(2):162~166 |
| 一种改进的唤醒信号能量检测算法及其应用研究 |
| Research on an improved algorithm for energy detection of wake-up signal and its application |
| 投稿时间：2011-05-12 修订日期：2011-08-18 |
| DOI： |
| 中文关键词: 陷波 帕斯瓦尔定理 水下无线传感器网络 低功耗 唤醒信号检测 |
| 英文关键词: notch Parseval Theory (underwater wireless sensor networks,UWSN) low-cost wake-up signal detection |
| 基金项目: |
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| 摘要点击次数: 1312 |
| 全文下载次数: 1413 |
| 中文摘要: |
| 为了减少水下无线传感器网络的功耗,在notch滤波器算法原理基础上,结合帕斯瓦尔定理和子带能量目标检测算法分析环境噪声,得到了检测门限随环境噪声变化的唤醒信号检测算法,进行了理论分析和仿真。在微功耗处理器上实现了该算法并讨论了其在水下无线传感器网络的应用。试验证明该算法可以灵活调度网络中的各个节点状态,降低了传感器网络的功耗。 |
| 英文摘要: |
| In order to reduce power consumption of underwater wireless sensor networks,this paper puts forward a wake-up signal detection algorithm on the basis of notch filter.The algorithm combines the principle of Parseval theorem and the sub-target detection algorithm.Through analysis of environmental noise,the detection threshold changes with the environment.This paper completes theoretical analysis and simulation of algorithm;applies it in micro-power processor;discusses the algorithm in underwater wireless sensor network applications.Test proved the effectiveness of the algorithm which can be flexible in scheduling states of each node in the network.The purpose of reducing the power consumption of sensor network is achieved. |
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