| 摘要: |
| 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。 |
| 关键词: 认知无线电 频谱感知 拟合优度检验 噪声方差估计 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61271276,61301091)；陕西省自然科学基金资助项目(2014JM8299) |
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| A novel anti-noise-uncertainty spectrum sensing method using goodness of fit test |
| LU Guangyue,YE Yinghui,SUN Yu,MI Yin |
| () |
| Abstract: |
| For the problem that the performance of the existing spectrum sensing algorithm based on Goodness of Fit(GoF) test is sensitive to the noise uncertainty,the moment estimation method or the eigen decomposition estimation method is employed to estimate the noise variance timely and the sampling data is processed,using the estimated variance,to be normal Gaussian signal. Finally,the GoF test is used to detect the existence of the primer user. The proposed method is free of noise uncertainty with lower complexity. Simulation results show the effectiveness of the proposed method. |
| Key words: cognitive radio spectrum sensing goodness of fit test estimation of noise variance |
《电讯技术》编辑部 