噪声对频谱感知算法的性能影响研究.doc

噪声对频谱感知算法的性能影响研究.doc摘要
随着无线通信技术的飞速发展,无线用户的数量急剧增加,可用频谱资源越来越紧张。为了解决这一问题,一种智能频谱共享技术——认知无线电感应应运而生,这种技术可实现不可再生频谱资源的二次利用,从而有效地提高了频谱利用率。而频谱感知是认知无线电领域中最具挑战的核心关键技术之一,探究多种频谱感知算法的性能具有极高的实际意义。而探究多种频谱感知算法中会出现很多不确定的因素,在运用无线电的过程中避免不了噪声的干扰,因此关于噪声对频谱感知算法性能的影响的研究就更有必要了。
本论文主要介绍了几种常用的频谱感知算法,并在讨论这几种频谱感知算法的原理与实现方法的基础上着重着重探究能量检测算法的性能,用Matlab完成能量检测器的仿真,并从理论与实际两方面对其性能进行分析。在考虑噪声不确定性影响的前提下,仿真分析噪声对能量检测算法性能的影响。
关键词:频谱资源;频谱感知算法;能量检测算法;频谱利用率
Abstract
With the rapid development of munication technology, and a sharp increase in the number of wireless users, the available spectrum resources are increasingly strained. In order to solve this problem, an intelligent spectrum sharing technology - cognitive radio sensing came into being. This technique can achieve the secondary use of non-renewable spectrum resources, which effectively improves the spectrum utilization rate. Spectrum sensing is one of the most challenging key technology in the field of cognitive radio, and exploring the performance of varies of spectrum sensing algorithms has high practical significance. However, many uncertain factors occurs in the process of exploration. It means the noise interference can not be avoided. Consequently, researches on the impact of noise on the performance of spectrum sensing algorithms are more necessary.
This paper mainly introduces monly used spectrum sensing algorithms, discusses the principles and methods of these spectrum sensing algorithms and then focuses on the performance of the energy detection algorithm, as well as uses Matlab to simulate the energy detector and analyzes its performance in both practical and theoretical way. Under the premise of considering the impact of noise uncertainty , we can simulate and analyze the impact of noise on the performance of energy detection algorithms.
Key Words:Spectrum resources; Spectrum sensing algorithms; Energy detection algorithm; Spectrum utilization rate
目录
第1章绪论 1
认知无线电产生的背景 1
本论文的研究内容 2
第2章认知无线电中频谱感知技术的研究发展 3
本地感知技术 3
协作感知技术 4
第3章认知无