基于匹配滤波器的频谱感知和功率识别算法

发布时间：2018-03-13 12:15

  本文选题：频谱感知　切入点：功率识别　出处：《重庆邮电大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着纯语音通信到多媒体业务的转换，通信业务对数据传输率要求越来越高。然而，由于频谱资源的有限性，传统的静态频谱分配机制已经不能适应越来越多的高速率传输设备的要求。这导致一些无线频谱过度拥挤，而另一些频谱很少、或者基本没有被使用的情况。认知无线电被看作是提高频谱利用率，解决频谱资源匮乏最具潜力的技术。认知网络中，在授权频段空闲或者次级用户对主用户的干扰低于一定水平时，次级用户通过频谱感知接入授权给主用户的频段。因此，频谱感知是认知无线电网络中最重要的技术。 本文主要研究了主用户多传输功率场景下，基于匹配滤波器的频谱感知和功率识别算法。与传统的二元检测只判定主用户的忙闲状态相比，本文不但能判断主用户的忙闲状态，而且能识别主用户的传输功率。本文首先对认知无线电的背景、关键技术、发展现状以及面临的挑战进行了概述，，并分析了现有主要频谱检测技术。其次，提出了更合理的主用户多传输功率场景下的频谱感知方法，包括基于分组检测法的频谱感知和功率识别算法以及基于直接检测法的频谱感知和功率识别算法，且这两种算法都讨论了信道相位已知和信道相位未知的情况。在分组检测法中，将主用户状态分为忙闲两组，算法的第一步决定主用户的忙闲状态，第二步识别主用户的传输功率；而直接检测法能同时识别主用户的忙闲状态和传输功率，不再分成两个步骤实现。 最后，本文研究了主用户多传输功率场景下的协作频谱感知和功率识别算法，分别讨论了多数判决融合和最佳判决融合两种协作频谱感知方法。通过仿真对比了两种协作频谱感知方法的性能以及单用户频谱感知和协作频谱感知的性能。
[Abstract]:With the conversion of pure voice communication to multimedia service, the requirement of data transmission rate is becoming higher and higher. However, due to the limitation of spectrum resources, The traditional static spectrum allocation mechanism can no longer meet the requirements of more and more high-speed transmission devices. This results in some wireless spectrum being overcrowded and others having little spectrum. Or basically not being used. Cognitive radio is seen as the most promising technology to improve spectrum efficiency and solve the scarcity of spectrum resources. In cognitive networks, When the authorized frequency band is idle or the interference of the secondary user to the primary user is lower than a certain level, the secondary user accesses the frequency band authorized to the primary user through spectrum sensing. Therefore, spectrum sensing is the most important technology in cognitive radio network. In this paper, the spectrum sensing and power recognition algorithms based on matched filter are studied in the multi-transmission power scenario of primary users, compared with the traditional binary detection, which only determines the busy state of the primary user. This paper not only can judge the busy and idle state of the primary user, but also can identify the transmission power of the primary user. Firstly, the background, key technologies, development status and challenges of cognitive radio are summarized in this paper. The main spectrum detection techniques are analyzed. Secondly, a more reasonable spectrum sensing method based on multi-transmission power scenario is proposed. It includes spectrum sensing and power recognition algorithm based on packet detection method and spectrum sensing and power identification algorithm based on direct detection method. In the packet detection method, the primary user states are divided into two groups, and the first step of the algorithm determines the busy state of the primary user. The second step is to identify the transmission power of the primary user, while the direct detection method can recognize the busy state and the transmission power of the primary user simultaneously, and can not be realized in two steps. Finally, this paper studies the cooperative spectrum sensing and power recognition algorithms in multi-transmission power scenarios of primary users. Two kinds of cooperative spectrum sensing methods, majority decision fusion and optimal decision fusion, are discussed, and the performance of the two cooperative spectrum sensing methods and single user spectrum sensing and cooperative spectrum sensing are compared by simulation.
【学位授予单位】：重庆邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN713

【参考文献】

中国期刊全文数据库 前1条

1 郭彩丽;张天魁;曾志民;冯春燕;;认知无线电关键技术及应用的研究现状[J];电信科学;2006年08期

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