Alpha稳定分布噪声下基于特征值之差频谱感知算法
TN92; 针对基于特征值的谱感知算法在脉冲噪声的环境下感知性能不佳的问题,分析矩阵全部的特征值,引入矩阵特征值的几何均值,提出了基于分数低阶协方差矩阵的最大特征值与特征值几何均值之差(difference between maximum eigenvalue and geometric mean of eigenvalue,DMGM)的频谱感知算法.选择了 Alpha 稳定分布噪声模拟脉冲噪声环境,理论分析与仿真实验结果表明,在不增加算法复杂度的前提下,DMGM算法与其他算法相比,更适用于脉冲噪声环境,在低信噪比条件下具有更好的感知性能....
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Published in | 系统工程与电子技术 Vol. 45; no. 9; pp. 2949 - 2955 |
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Main Authors | , , , , |
Format | Journal Article |
Language | Chinese |
Published |
哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
2023
哈尔滨工程大学工业和信息化部先进船舶通信与信息技术重点实验室,黑龙江哈尔滨150001%哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 |
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Abstract | TN92; 针对基于特征值的谱感知算法在脉冲噪声的环境下感知性能不佳的问题,分析矩阵全部的特征值,引入矩阵特征值的几何均值,提出了基于分数低阶协方差矩阵的最大特征值与特征值几何均值之差(difference between maximum eigenvalue and geometric mean of eigenvalue,DMGM)的频谱感知算法.选择了 Alpha 稳定分布噪声模拟脉冲噪声环境,理论分析与仿真实验结果表明,在不增加算法复杂度的前提下,DMGM算法与其他算法相比,更适用于脉冲噪声环境,在低信噪比条件下具有更好的感知性能. |
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AbstractList | TN92; 针对基于特征值的谱感知算法在脉冲噪声的环境下感知性能不佳的问题,分析矩阵全部的特征值,引入矩阵特征值的几何均值,提出了基于分数低阶协方差矩阵的最大特征值与特征值几何均值之差(difference between maximum eigenvalue and geometric mean of eigenvalue,DMGM)的频谱感知算法.选择了 Alpha 稳定分布噪声模拟脉冲噪声环境,理论分析与仿真实验结果表明,在不增加算法复杂度的前提下,DMGM算法与其他算法相比,更适用于脉冲噪声环境,在低信噪比条件下具有更好的感知性能. |
Author | 汪楷淋 陈增茂 孙志国 阿尔斯楞 孙溶辰 |
AuthorAffiliation | 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001;哈尔滨工程大学工业和信息化部先进船舶通信与信息技术重点实验室,黑龙江哈尔滨150001%哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001 |
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Author_FL | SUN Zhiguo CHEN Zengmao SUN Rongchen AER Sileng WANG Kailin |
Author_FL_xml | – sequence: 1 fullname: CHEN Zengmao – sequence: 2 fullname: WANG Kailin – sequence: 3 fullname: SUN Zhiguo – sequence: 4 fullname: SUN Rongchen – sequence: 5 fullname: AER Sileng |
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DocumentTitle_FL | Eigenvalue difference spectrum sensing algorithm under Alpha stable distributed noise |
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Keywords | 频谱感知 分数低阶矩 Alpha稳定分布 sampling covariance 几何均值 spectrum sensing fractional low order moments Alpha stable distributed 采样协方差 geometric mean |
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Snippet | TN92; 针对基于特征值的谱感知算法在脉冲噪声的环境下感知性能不佳的问题,分析矩阵全部的特征值,引入矩阵特征值的几何均值,提出了基于分数低阶协方差矩阵的最大特征值与特征值几何均值之差(difference between maximum eigenvalue and geometric mean of... |
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Title | Alpha稳定分布噪声下基于特征值之差频谱感知算法 |
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