克服噪声不确定度的拟合优度检验频谱感知算法
针对已有的基于拟合优度（GoF）检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布的信号,最后通过GoF检验来感知主用户的存在性.在减小GoF算法复杂度的同时,克服了噪声不确定度对算法性能的影响,仿真结果也表明了所提算法的有效性....
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| Published in | 电讯技术 Vol. 56; no. 1; pp. 26 - 31 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
西安邮电大学无线网络安全技术国家工程实验室,西安,710121
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-893X |
| DOI | 10.3969/j.issn.1001-893x.2016.01.005 |
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| Abstract | 针对已有的基于拟合优度（GoF）检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布的信号,最后通过GoF检验来感知主用户的存在性.在减小GoF算法复杂度的同时,克服了噪声不确定度对算法性能的影响,仿真结果也表明了所提算法的有效性. |
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| AbstractList | 针对已有的基于拟合优度（GoF）检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布的信号,最后通过GoF检验来感知主用户的存在性.在减小GoF算法复杂度的同时,克服了噪声不确定度对算法性能的影响,仿真结果也表明了所提算法的有效性. TN92; 针对已有的基于拟合优度(GoF)检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布的信号,最后通过GoF检验来感知主用户的存在性.在减小GoF算法复杂度的同时,克服了噪声不确定度对算法性能的影响,仿真结果也表明了所提算法的有效性. |
| Author | 卢光跃 叶迎晖 孙宇 弥寅 |
| AuthorAffiliation | 西安邮电大学无线网络安全技术国家工程实验室,西安710121 |
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| Author_FL | LU Guangyue YE Yinghui MI Yin SUN Yu |
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| Author_xml | – sequence: 1 fullname: 卢光跃 叶迎晖 孙宇 弥寅 |
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| Keywords | 频谱感知 拟合优度检验 estimation of noise variance cognitive radio 噪声方差估计 spectrum sensing goodness of fit test 认知无线电 |
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| Snippet | 针对已有的基于拟合优度（GoF）检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布的信... TN92; 针对已有的基于拟合优度(GoF)检验的频谱感知算法易受到噪声不确定度影响的问题,利用矩估计法或特征分解估计法对噪声方差进行实时估计,将采样数据处理为标准正态分布... |
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| SubjectTerms | 噪声方差估计 拟合优度检验 认知无线电 频谱感知 |
| Title | 克服噪声不确定度的拟合优度检验频谱感知算法 |
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