利用LMS的频谱感知算法  

Spectrum Sensing Method Using LMS

作　　者：王凡[1] 卢光跃[1] 

机构地区：[1]西安邮电大学无线网络安全技术国家工程实验室,陕西西安710121

出　　处：《信号处理》2016年第5期543-548,共6页Journal of Signal Processing

基　　金：国家科技重大专项基金资助项目(2012ZX03001025-004);国家自然科学基金资助项目(61271276;61301091);陕西省教育厅专项科研计划基金资助项目(14JK1681);陕西省自然科学基金资助项目(2014JM8299)

摘　　要：针对低信噪比下的频谱感知问题,提出一种基于最小均方算法(LMS)的不受噪声不确定度影响的频谱感知算法。本文利用LMS算法对原始发送信号的幅度进行实时估计,并以其估计值作为检验统计量,判断主用户是否存在,实现频谱感知。理论和仿真结果均表明,此方法对微弱信号的检测能力较强,且性能明显优于能量检测算法,通过对噪声方差的实时估计,可以有效克服噪声不确定度的影响。In order to fulfill the spectrum sensing in low SNR environment,the based LMS spectrum sensing method that free of noise uncertainty is proposed. In this paper,LMS algorithm is applied to estimate the amplitude of transmitted signal in real time,and the estimation is employed as the test statistic to detect the existence of primary user. Both the theoretical and simulation results show that the proposed method has better performance for weak signal detection,which also greatly outperforms the classical energy detection method and effectively overcome the influences of noise uncertainty by estimating the noise variance.

关 键 词：认知无线电 频谱感知 最小均方算法 信号幅度估计 

分 类 号：TN92[电子电信—通信与信息系统]