基于网络化协同感知的频谱获取新方案
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摘要
针对电磁域从时、频、空、能、码等任何一个维度来"绘制"射频电磁频谱图的迫切需求,提出了一种基于网络化主动协同感知的无线电频谱图获取解决方案。该方案充分考虑利用已有的频谱感知设备,采用分布式网络化协同方式,通过合理部署多个不同型号的监测设备,提高感知灵敏度和准确度;设计了协同感知频谱中不同阶段的数据融合工作方式;采用了分布式ETL处理技术,减少了实时数据传输对网络传输带宽的要求,初步实现了海量原始频谱监测数据的迁移、转化和处理。该方案可应用于基于认知无线电的协同频谱感知系统中。
A solution of radio spectrum acquisition based on network active cooperative sensing is proposed for the urgent need of drawing the RF spectrum map from different domain,including time,frequency,space,energy and code.The scheme is fully considered to apply the existing spectrum sensing equipment and adopting the distributed network cooperative mode in order to improve the sensory sensitivity and accuracy by rationally deploying various monitoring equipment.The data fusion approach in different stages of cooperative sensing spectrum is designed.The distributed ETL processing technology is adopted to reduce the requirement of real-time data transmission for network transmission bandwidth,and realize the mass raw spectrum monitoring data migration,transforming and processing between data warehouse.The scheme can be used in cooperative spectrum sensing system based on cognitive radio.
A solution of radio spectrum acquisition based on network active cooperative sensing is proposed for the urgent need of drawing the RF spectrum map from different domain,including time,frequency,space,energy and code.The scheme is fully considered to apply the existing spectrum sensing equipment and adopting the distributed network cooperative mode in order to improve the sensory sensitivity and accuracy by rationally deploying various monitoring equipment.The data fusion approach in different stages of cooperative sensing spectrum is designed.The distributed ETL processing technology is adopted to reduce the requirement of real-time data transmission for network transmission bandwidth,and realize the mass raw spectrum monitoring data migration,transforming and processing between data warehouse.The scheme can be used in cooperative spectrum sensing system based on cognitive radio.
引文
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[3]郭丽红.美军信息通信系统发展研究[J].无线电通信技术,2017,43(3):13-19.
[4]罗争.基于大数据的电磁频谱感知数据管理与挖掘[J].信息通信,2016(9):137-138.
[5]陈雨丰,关建峰,许长桥.新型频谱监管网络模型研究[J].计算机应用与软件,2016(8):146-149,171.
[6]姚富强,张余,柳永祥.电磁频谱安全与控制[J].指挥与控制学报,2015(3):278-283.
[7]孙晓东,孙瑞.基于频谱监测数据的联合时差定位方法[J].无线电工程,2013,43(12):54-57.
[8]任峰.频谱感知数据挖掘技术研究[D].北京:北京邮电大学,2015.
[9]宋杰.面向多类型数据源的数据仓库构建及ETL关键技术的研究[D].沈阳:东北大学,2011.
[10]何敬松,宗容.网格化无线电监测网监测站点布局规划探索[J].无线电工程,2016,46(9):28-32.