认知无线电中频谱感知技术研究
发布时间：2018-08-16 17:12
【摘要】： 认知无线电技术可以有效缓解频谱分配与利用之间的矛盾。随着频谱资源日趋紧张，认知无线电技术成为无线通信领域新的研究热点。频谱感知技术是决定认知无线电能否实现的关键技术之一。 本文首先回顾了认知无线电的由来及相关概念，通过对认知无线电技术及其频谱感知技术国内外现状的分析，确立了本文选题的理论依据。 本文在第二章分层次、分类别地阐述了认知无线电中现有的频谱感知技术：从信号存在性的频谱感知到信号覆盖范围的频谱感知；从单节点的频谱感知到多节点的频谱感知。并且从原理的角度对上述各种频谱感知技术进行了详细说明及分析。 针对现有多节点的频谱感知算法忽视各感知节点所处环境差异导致的各节点检测可靠性不同这一问题，本文在第三章提出了一种基于信任度的多节点频谱感知算法，又称为基于信任度的分布式频谱感知算法，将证据理论引入判决融合中，并以能量检测为例，推导了AWGN信道条件下的检测表达式，通过计算机仿真验证了：考虑了各节点检测的信任度的分布式频谱感知算法，在性能上明显优于现有的多节点频谱感知算法。 随着越来越多的人意识到频谱分配与使用之间的矛盾，，认知无线电技术的应用范围也随之扩大。本文在第四章首先总结了IEEE 802.22(无线区域网络)工作小组对电视频段上频谱感知技术的应用情况，随后归纳了某些学者对GSM频段的频谱感知技术应用的研究。 虽然IEEE 802.22工作小组对电视频段的频谱感知技术的研究工作进行的如火如荼，但是其研究的主要对象集中于目前只被三个国家采纳的数字电视信号——ATSC信号。针对这一现象，本文在第五章对广泛采用的DVB-T电视信号进行了研究，从单天线和多天线的角度，分别提出了针对DVB-T信号的频谱感知算法，通过计算机仿真表明，所提算法具有较好的检测性能。这部分内容已被列入到IEEE802.22的提案文档中。 总体而言，认知无线电的出现为频谱资源匮乏提供了可能的解决手段，具有重要的社会效益。频谱感知技术作为认知无线电能否实现的关键技术，本文对此进行了较为深入的研究。基于信任度的分布式频谱感知算法克服了现有多节点频谱感知算法存在的问题；针对DVB-T信号的频谱感知算法适用于任何具有循环前缀或导引信号的OFDM信号的检测。这些前瞻性的成果具有一定程度的理论及实际意义，具有广泛的市场应用前景。
[Abstract]:Cognitive radio technology can effectively alleviate the contradiction between spectrum allocation and utilization. With the increasing shortage of spectrum resources, cognitive radio technology has become a new research hotspot in wireless communication field. Spectrum sensing is one of the key technologies to determine whether cognitive radio can be realized. This paper first reviews the origin of cognitive radio and related concepts, through the cognitive radio technology and spectrum sensing technology at home and abroad analysis of the status quo, established the theoretical basis for this topic. In the second chapter, the existing spectrum sensing techniques in cognitive radio are described in the second chapter, which include spectrum sensing from signal existence to spectrum sensing over signal coverage, spectrum sensing from single node to multi-node spectrum sensing. The spectrum sensing techniques mentioned above are explained and analyzed in detail from the point of view of principle. In order to solve the problem that the existing multi-node spectrum sensing algorithms ignore the difference of detection reliability caused by the difference in the environment of each sensing node, this paper proposes a multi-node spectrum sensing algorithm based on trust degree in the third chapter. Also called distributed spectrum sensing algorithm based on trust degree, the evidence theory is introduced into the decision fusion, and the detection expression under AWGN channel condition is deduced by taking energy detection as an example. It is verified by computer simulation that the distributed spectrum sensing algorithm which considers the trust of each node detection is superior to the existing multi-node spectrum sensing algorithm in performance. As more and more people realize the contradiction between spectrum allocation and usage, the application of cognitive radio technology is expanded. In the fourth chapter, we first summarize the application of IEEE 802.22 (Wireless area Network) working group to the spectrum sensing technology in the television frequency band, and then summarize the research on the application of the spectrum sensing technology in the GSM band by some scholars. Although the working group of IEEE 802.22 is working in full swing on the spectrum sensing technology of television frequency band, the main object of its research is the digital television signal, which is only adopted by three countries at present. In the fifth chapter, the widely used DVB-T TV signal is studied. From the angle of single antenna and multiple antenna, the spectrum sensing algorithm for DVB-T signal is proposed, and the computer simulation shows that, The proposed algorithm has better detection performance. This section has been included in the IEEE802.22 proposal document. In general, the emergence of cognitive radio provides a possible solution to the scarcity of spectrum resources and has important social benefits. Spectrum sensing is the key technology of cognitive radio. The distributed spectrum sensing algorithm based on trust overcomes the problems of existing multi-node spectrum sensing algorithms. The spectrum sensing algorithm for DVB-T signals is suitable for any OFDM signal with cyclic prefix or guidance signal. These forward-looking results have a certain degree of theoretical and practical significance, and have a wide range of market application prospects.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：TN92
本文编号：2186645
[Abstract]:Cognitive radio technology can effectively alleviate the contradiction between spectrum allocation and utilization. With the increasing shortage of spectrum resources, cognitive radio technology has become a new research hotspot in wireless communication field. Spectrum sensing is one of the key technologies to determine whether cognitive radio can be realized. This paper first reviews the origin of cognitive radio and related concepts, through the cognitive radio technology and spectrum sensing technology at home and abroad analysis of the status quo, established the theoretical basis for this topic. In the second chapter, the existing spectrum sensing techniques in cognitive radio are described in the second chapter, which include spectrum sensing from signal existence to spectrum sensing over signal coverage, spectrum sensing from single node to multi-node spectrum sensing. The spectrum sensing techniques mentioned above are explained and analyzed in detail from the point of view of principle. In order to solve the problem that the existing multi-node spectrum sensing algorithms ignore the difference of detection reliability caused by the difference in the environment of each sensing node, this paper proposes a multi-node spectrum sensing algorithm based on trust degree in the third chapter. Also called distributed spectrum sensing algorithm based on trust degree, the evidence theory is introduced into the decision fusion, and the detection expression under AWGN channel condition is deduced by taking energy detection as an example. It is verified by computer simulation that the distributed spectrum sensing algorithm which considers the trust of each node detection is superior to the existing multi-node spectrum sensing algorithm in performance. As more and more people realize the contradiction between spectrum allocation and usage, the application of cognitive radio technology is expanded. In the fourth chapter, we first summarize the application of IEEE 802.22 (Wireless area Network) working group to the spectrum sensing technology in the television frequency band, and then summarize the research on the application of the spectrum sensing technology in the GSM band by some scholars. Although the working group of IEEE 802.22 is working in full swing on the spectrum sensing technology of television frequency band, the main object of its research is the digital television signal, which is only adopted by three countries at present. In the fifth chapter, the widely used DVB-T TV signal is studied. From the angle of single antenna and multiple antenna, the spectrum sensing algorithm for DVB-T signal is proposed, and the computer simulation shows that, The proposed algorithm has better detection performance. This section has been included in the IEEE802.22 proposal document. In general, the emergence of cognitive radio provides a possible solution to the scarcity of spectrum resources and has important social benefits. Spectrum sensing is the key technology of cognitive radio. The distributed spectrum sensing algorithm based on trust overcomes the problems of existing multi-node spectrum sensing algorithms. The spectrum sensing algorithm for DVB-T signals is suitable for any OFDM signal with cyclic prefix or guidance signal. These forward-looking results have a certain degree of theoretical and practical significance, and have a wide range of market application prospects.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：TN92
【引证文献】
相关期刊论文 前4条
1 顾庆峰;杨仕平;;基于认知无线电的多频段跳频通信系统[J];电讯技术;2012年07期
2 申涛;胡中豫;李高峰;李伟;;基于关联分析的频谱感知信息加权融合算法[J];火力与指挥控制;2010年12期
3 谷溪;左蕾宁;;基于小波变换的频谱检测算法分析[J];南通航运职业技术学院学报;2012年02期
4 吴玲玲;;快变信道下基于数据平滑的DVB-T信号频谱感知[J];现代电子技术;2012年09期
相关博士学位论文 前1条
1 刘婷婷;认知无线电中关键技术的研究[D];南京理工大学;2011年
相关硕士学位论文 前10条
1 刘星;认知无线电系统的频谱检测算法研究[D];哈尔滨工程大学;2010年
2 尹方方;认知无线电中合作频谱感知的研究[D];昆明理工大学;2009年
3 李彬;基于信号采样自相关的频谱检测技术研究[D];云南民族大学;2011年
4 许朝阳;认知无线电中基于多天线的频谱感知技术[D];天津大学;2012年
5 丰金花;基于最小贝叶斯风险的频谱感知技术的研究[D];苏州大学;2011年
6 叶丹;认知无线电网络中智能感知与功率控制算法研究[D];苏州大学;2010年
7 张玉;认知无线电频谱感知技术的研究[D];重庆大学;2010年
8 江雪;认知网络中频谱感知技术研究[D];重庆大学;2010年
9 刘晓艳;基于D-S证据理论的协作频谱感知技术研究[D];大连海事大学;2012年
10 吴玲玲;高速运动下的DVB-T信号频谱感知[D];中南民族大学;2012年
本文编号：2186645
本文链接：https://www.wllwen.com/kejilunwen/wltx/2186645.html
