认知无线电中基于循环统计量的频谱空穴检测方法  

A Spectrum Hole Detection Method Based on Cyclic-statistic in Cognitive Radio

作　　者：范幼君[1] 邓建国[1] 张锐[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049

出　　处：《电讯技术》2008年第3期16-20,共5页Telecommunication Engineering

基　　金：国家高技术研究发展计划(863计划)资助项目(2005AA123910);陕西省自然科学基金资助项目(2006F41)

摘　　要：频谱空穴检测是认知无线电研究的关键技术。针对授权用户信号的循环平稳特性以及它和干扰信号、噪声的循环独立特性,提出了一种基于循环统计量的频谱空穴检测方案。构造了频谱空穴检测的二元假设检验模型,推导了相应的检验统计量。仿真结果表明,在低信噪比情况下,相比传统的能量检测法,该方法具有较优的检测性能,同时能有效地区分授权用户信号与同频干扰信号。Spectrum hole detection is the key technology of cognitive radio. This paper proposes a new spectrum hole detection scheme based on the cyclic - statistic according to the cyclostationarity of the primary user signal. The binary hypothesis test model is constructed, and the explicit formula of the test statistic is derived. Simulation results have proved that this scheme can distinguish the primary user signal from noise and interference effectively, and is superior to the energy detection under low SNR.

关 键 词：认知无线电 频谱空穴检测 循环平稳 二阶循环统计量 特征检测 

分 类 号：TN911.23[电子电信—通信与信息系统]