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基于最大特征值和能量之差的频谱感知方法 被引量：2

Spectrum Sensing Method Based on ME-S-ED
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摘要 针对认知无线电频谱感知问题,利用随机矩阵理论的相关研究成果,提出一种新型频谱感知方法。该方法以最大特征值和平均能量之差构建判决统计量,以采样协方差矩阵最大特征值的极限值近似代替最大特征值,结合噪声平均能量的分布特性推导判决门限。仿真结果表明,该方法在低信噪比环境下能够克服噪声不确定度的影响,获得相较于ED更好的检测性能。 A novel spectrum sensing algorithm based on RMT is presented.The difference between the maximum eigenvalue and the average energy is employed as the decision statistic,and the decision threshold is derived by the limit of maximum eigenvalue and the distribution of average energy.The simulation results show that the proposed method can effectively eliminate the influence of noise uncertainty,and can obtain better detection performance than ED.
作者 刘宁 史浩山 杨博 袁德平
机构地区 西北工业大学无人机特种技术重点实验室 西北工业大学电子信息学院
出处 《测控技术》 CSCD 2016年第6期125-128,共4页 Measurement & Control Technology
基金 2012航天科技支撑基金(2012HTXGD) 西北工业大学基础研究基金(3102014KYJD014) 装备预研基金(9140C390601140C39002)
关键词 认知无线电 特征值 噪声不确定度 信噪比墙 cognitive radio eigenvalue noise uncertainty SNR wall
分类号 TN92 [电子电信—通信与信息系统]
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参考文献12

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二级参考文献22

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共引文献38

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测控技术
2016年 第6期

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