认知无线电网络中的频谱感知研究

发布时间：2018-01-18 11:38

本文关键词：认知无线电网络中的频谱感知研究　出处：《浙江大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着无线通信技术的迅猛发展,日益增长的无线通信需求与有限的无线频谱资源之间的矛盾越来越突出。认知无线电技术为在频谱资源紧缺的情况下提高频谱利用率的构想开创了一个崭新的局面,它允许非经授权的无线通信设备根据一定的学习和决策算法,主动地检测和有效地利用专用授权频段上的空闲频谱资源,从而实现时间、频率和空间的三维频谱复用。其中频谱感知是组成认知无线电网络的重要因素,它通过次级用户主动检测潜在的可利用频谱资源,在不干扰授权用户正常通信的前提下,使用频谱资源,因此提高了频谱的使用效率。论文首先系统的介绍了频谱感知的研究背景和基本理论,并分析了其关键技术、应用方向和应用现状。然后全面介绍了认知无线电网络中频谱感知技术的基本理论,最新的研究结果,并对多种频谱感知算法进行分析和比较,指出现有的各种算法的优点和不足之处,并提出了改进方向。论文首先提出了一种能节省资源的合作式频谱感知算法,将快速检测的思想应用到频谱感知中,在满足相同的检测性能要求同时,减少了所需观测值的数量,从而减少了能源的消耗。此外,对于可以划分成多个子信道的宽带信号,我们提出了一种联合检测方法。利用不同子信道观测值之间存在相关性这个先验信息,提高频谱感知的准确度,并且分析了其对噪声的波动的鲁棒性。论文的最后给出了本课题下一步的研究方向,并分析了快速检测和相关性潜在的研究和应用领域。
[Abstract]:With the rapid development of wireless communication technology. The contradiction between the growing demand for wireless communication and the limited wireless spectrum resources is becoming more and more prominent. Cognitive radio technology has opened up a new bureau for improving the spectrum efficiency under the condition of spectrum resource shortage. Face. It allows non-authorized wireless communication devices to actively detect and effectively utilize the free spectrum resources in the special authorized frequency band according to certain learning and decision-making algorithms, thus realizing time. Frequency and spatial 3D spectrum multiplexing, in which spectrum sensing is an important factor in cognitive radio network, which detects potential spectrum resources actively through secondary users. Without interfering with the normal communication of authorized users, spectrum resources are used, so the efficiency of spectrum utilization is improved. Firstly, the background and basic theory of spectrum sensing are introduced systematically, and the key technologies are analyzed. Then the basic theory and the latest research results of spectrum sensing technology in cognitive radio network are introduced, and various spectrum sensing algorithms are analyzed and compared. The advantages and disadvantages of the existing algorithms are pointed out, and the direction of improvement is proposed. In this paper, we first propose a cooperative spectrum sensing algorithm which can save resources. The idea of fast detection is applied to spectrum sensing, which can meet the same detection performance requirements and reduce the number of required observations. This reduces energy consumption. In addition, we propose a joint detection method for wideband signals that can be divided into multiple subchannels, using the prior information that there is correlation between the observations of different subchannels. The accuracy of spectrum sensing is improved and its robustness to noise fluctuation is analyzed. At the end of this paper, the next research direction of this topic is given, and the potential research and application fields of rapid detection and correlation are analyzed.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN925

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