认知无线电中的频谱空洞检测技术  

Spectrum Holes Detection Technologies in Cognitive Radio

作　　者：刘勤[1] 张雯[1] 

机构地区：[1]西安电子科技大学综合业务网国家重点实验室,陕西西安710071

出　　处：《中兴通讯技术》2007年第3期12-14,18,共4页ZTE Technology Journal

基　　金：国家自然科学基金重大项目(60496316);国家自然科学基金项目(60572146);高等学校博士学科点专项科研基金(20050701007);教育部科学技术研究重点项目(107103)

摘　　要：认知无线电是一种基于软件无线电的智能的无线通信系统,它能够认知周围环境,并能够通过一定的方法相应地改变某些工作参数来实时地适应环境,从而达到提高频谱利用率、缓解频谱资源紧张的目的。认知无线电的首要任务是检测频谱的空洞。通常用在认知无线电中的非参数谱估计的方法主要包括多窗谱估计、Welch方法等。多窗谱估计算法在进行干扰温度的估计和频谱空洞的判定时,能够利用设立的多个传感器对环境信号进行接收和监测,并按照多窗谱估计与奇异值分解(MTM-SVD)算法进行处理获得干扰温度估计值,最后将其与干扰温度限比较判决,从而得到适合认知无线电系统应用的频谱空洞。Cognitive radio, built on a software-defined radio, is an intelligent wireless communication system. It is aware of its environment, and it uses the methodology of ＂understanding-by-building＂ to learn the environment. Its objectives are to efficiently utilize the radio spectrum and to solve the problem of radio electromagnetic spectrum scarcity. The primary task of cognitive radio is to detect spectrum holes. There are two methods of detecting spectrum holes： the Multitaper spectral estimation and the Welch method. Multitaper Method-Singular Value Decomposition （MTM-SVD）is used to estimate the interference temperature and detect the spectrum hole： this method utilizes sensors to receive and detect the environmental signals, and it will then estimate the interference temperature, and compare it with the defined limit to find the spectrum holes that adapt to the cognitive radio system.

关 键 词：认知无线电 频谱空洞探测 干扰温度 

分 类 号：TN014[电子电信—物理电子学]