认知无线电中一种双门限能量检测算法  

Double Thresholds Energy Detection Algorithm in Cognitive Radio

作　　者：许建霞[1] 刘会衡[1] 刘克中[2] 

机构地区：[1]武汉理工大学信息工程学院,湖北武汉430070 [2]武汉理工大学航运学院,湖北武汉430063

出　　处：《武汉理工大学学报（信息与管理工程版）》2011年第4期529-532,535,共5页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家自然科学基金资助项目(60703099)

摘　　要：针对传统能量检测法在信噪比较低时,容易出现漏检而使系统的检测性能下降的问题,提出了一种双门限能量检测法,利用双门限对统计量进行判决,若统计量落在双门限以外,直接做出判决,若统计量落在双门限之间,则根据循环特征检测重新计算统计量,再做出进一步判决。对高斯白噪声信道下双门限能量检测法进行了理论分析和仿真研究,仿真结果表明,双门限能量检测算法在低信噪比的情况下,检测性能明显优于传统能量检测法。Algorithm of traditional energy detection is relatively simple.However,it may cause missing detections in low SNR;hence performance of detection is poor.To improve detection performance,the double thresholds was proposed.If the statistics was out of the double thresholds,cognitive radio user can make a decision directly based on the traditional energy detection;otherwise,the statistics was recounted on the basis of cyclic characteristics detection and re-decided.The double thresholds energy detection algorithm was studied and simulated in Gaussian white noise channel.Simulation results show the performance of the double thresholds energy detection algorithm is superior to the traditional energy detection in low SNR.

关 键 词：认知无线电 双门限 统计量 检测概率 

分 类 号：TN911.23[电子电信—通信与信息系统]