摘 要：近年来，频谱资源变得越来越紧张，因此需要用合理的分配方式来解决这个问题，认知无线电便是这几年年来针对这一问题的解决方式之一。本论文的重点就是研究认知无线电频谱检测技术。它主要包含两个方面：1、单节点频谱检测技术2、多节点协作频谱检测技术。对于单用户的频谱感知技术，本文对匹配滤波器检测、能量检测、循环平稳特征检测算法进行了研究，也对它们的优点和缺点也进行了仔细的分析，而相当于多用户频谱感知系统，本文研究了基于“与”准则、“或”准则和“K”秩法的协作式频谱检测。在matalab平台下进行了仿真，得出在不同环境下，我们应该从用户的性质和需求选择不同的角度，来确定我们应该使用的检测技术。93402
毕业论文关键词：认知无线电，频谱检测，能量检测，协作检测
Abstract： In recent years, spectrum resources has become increasingly tense, so it is necessary to use reasonable allocation method to solve this problem, cognitive radio is one of these to solve the problem。 In this paper, we study the cognitive radio frequency spectrum detection technology 。 It mainly includes two aspects: 1, the local detection technology according to the absorption spectrum, the signal of single cognitive radio nodes, which is in the detection of spectrum in the environment of the occupied status; 2, multi node cooperative spectrum detection technology, namely the use of multiple cognitive users cooperation, improve detection sensitivity and detection of dependence,it can reduce to single node。 Needle The single user spectrum sensing technology, based on the matched filter detection, energy detection, cyclostationary feature detection algorithm research, but also for their advantages and disadvantages were also carefully analyzed, and the equivalent multi user spectrum sensing system, this paper is based on the "and" criterion, "cooperative spectrum or criteria and" K "rank method detection。 It is simulated in the MATALAB platform, obtained under different environmental conditions, we should choose different techniques according to the nature and needs of the user。
Keywords: cognitive radio, spectrum sensing, energy detection, cooperative detection
目 录
1 绪论 4
1。1 认知无线电研究背景 4
1。2 认知无线电技术的研究发展现状 5
1。2。1 美国方面的研究 5
1。2。2 欧洲方面的研究 6
1。2。3 国内的研究： 6
1。3 认知无线电的发展与应用 7
1。3。1 个人服务 7
1。3。2 公共服务 7
1。3。3 军事方面 8
2 认知无线电技术 8
2。1 认知无线电的定义 9
2。2 认知无线电检测 10
2。2。1 认知无线电频谱检测概论 10
2。2。2 单节点用户检测 11
2。2。3 多节点的频谱检测（也叫做协同式频谱检测）技术 16
3 实验仿真 19
3。1 仿真环境 19
3。2 匹配滤波器检测与仿真 20
3。3 能量检测仿真与结果 认识无线电中的检测理论研究:http://www.youerw.com/tongxin/lunwen_201230.html