【作者】 王瑶；

【导师】 闻映红；

【作者基本信息】 北京交通大学 ， 电子与通信工程（专业学位）， 2016， 硕士

【摘要】 本论文来源于国家无线电监测中心的“863计划”国家重点项目“5G无线网络认知与虚拟化关键技术研究与验证”。随着近年来通信业务量呈爆炸式增长,频谱资源的需求量也急剧增长。国内外现行的频谱管理分配方法对于频谱资源造成了不同程度的浪费。因此,在频谱资源有限的情况下,提高频谱利用率成为亟待解决的问题。认知无线电技术可以与周围电磁环境交互信息,及时发现授权用户所占频段中的空闲频段,能够实现频谱资源的重复利用。这也成为如今提高频谱利用率,解决频谱资源紧缺问题的重要方法。本文所做工作是国家重点项目前期工作的核心,为无线网络认知与虚拟化关键技术研究与验证提供基础平台。为此所搭建的“认知无线电一频谱感知”平台可以演示认知无线电的整体过程,并且能够进行频谱感知算法优劣性的检验。本文首先对于认知无线电技术进行了详细的介绍,包括基本特征、关键技术以及国内外研究现状,得出认知无线电技术是提高频谱资源利用率的一种切实可行的方法。然后指出频谱感知算法的选择是本平台系统的重点。通过对于匹配滤波器检测算法、特征检测算法以及能量检测算法的比较,确定将能量检测算法作为本系统的核心算法。“认知无线电—频谱感知”平台的搭建是本文的核心工作。在平台搭建的章节,首先给出了系统总体架构设计图,介绍了总体架构中包括的软硬件系统,并阐述了系统中所用到的设备或软件的基本信息及使用方法。然后介绍了基于C#语言的平台系统软件各模块的设计,其中的重点是仪器控制模块、频谱显示模块以及感知算法实现模块。在仪器控制模块中,采用LAN端口作为仪器与上位机连接端口,将C#语言与VSA89600的API接口连通,实现平台系统对于硬件设备的控制；在频谱显示模块中,采用基于C#GDI+以及双缓冲技术以及多线程、后台程序技术实现频谱图连续流畅的显示,成功解决了动画显示的卡顿、闪屏等问题；在感知算法的实现模块中,采用“门限法”和“空洞起止点判定法”成功实现频谱感知算法,得到“频谱空洞”数据,完成“认知无线电—频谱感知”平台的搭建。更多还原

【Abstract】 This topic comes from the 863 Program of State Radio Monitoring Center:Research and validation of the key technologies of 5G wireless network cognition and virtualization. With the explosive growth of communication services in recent years, the demand for spectrum resources has increased dramatically. The current spectrum management allocation mode caused huge waste of spectrum resources. Therefore, in the case of limited spectrum resources, improving the spectrum utilization becomes an urgent problem to be solved. Cognitive radio technology can interact with the electromagnetic environment, and find the idle frequency band in time, which can achieve the reuse of the spectrum resource. It has also become an important method to improve the spectrum utilization and solve the problem of spectrum resource shortage.The work of this paper is the core of this national key project, which provides a basic platform for the research and verification of the key technology of wireless network cognition and virtualization. Cognitive radio spectrum sensing platform can demonstrate the whole process of cognitive radio, and can be used for the test of the merits and demerits of the spectrum sensing algorithm.Firstly, the cognitive radio technology is introduced in detail, including the basic characteristics, key technologies and research status at home and abroad.This topic comes to the conclusion that cognitive radio is a practical method to improve the utilization of spectrum resources.And the choice of spectrum sensing algorithm is the focus of this platform. By comparing in three different algorithms of matched filter detection algorithm, feature detection algorithm and energy detection algorithm, energy detection algorithm is determined as the core algorithm of this system.The construction of "cognitive radio spectrum sensing" platform is the core work of this paper. In the chapter of the buiding of platform,this topic gives the system overall architecture design. It also describes the software and hardware system and the basic information or the use of methods of these. Then it introduces the design of each module of the software of this system based on C# language. The key points are instrument control module, spectrum display module and sensing algorithm module. In the instrument control module, LAN port is used as the interface between the instrument and the host computer. The C# language is connected with the API interface of VSA89600 to realize the control of the hardware device. In the spectrum display module, the topic achieves a continuous flow of spectrum shows using GDI+, double buffering, multi thread and background process technology. And it has successfully solved the animation display problems Caton, flash screen etc. In the realization of the sensing algorithm module, it realizes the function successfully through "Threshold method" and "starting and stopping point determination in spectrum hole method".Then we can get the data of spectral hole" and finish the whole platform.更多还原