| 基于阈值优化的频谱感知算法 |
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| 引用本文： | 魏苗,练秋生.基于阈值优化的频谱感知算法[J].燕山大学学报,2011,35(2):157-161. |
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| 作者姓名： | 魏苗 练秋生 |
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| 作者单位： | 燕山大学信息科学与工程学院,河北秦皇岛,066004 |
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| 基金项目： | 河北省自然科学基金资助项目 |
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| 摘 要： | 协方差绝对值(Covariance Absolute Value,CAV)感知算法使用固定阈值和固定虚警概率的频谱感知策略,无法保证在任何时候都能使频谱感知性能达到最优。提高频谱感知性能包括降低对主用户的干扰概率并提高空闲频谱的利用率,即最大限度地降低漏检概率与虚警概率。为此,本文对协方差绝对值感知算法进行改进,提出了不同信噪比下自适应阈值的优化方法使频谱感知误差(漏检概率与虚警概率的代数和)达到最小。实验结果表明,本文算法有效降低了频谱感知误差,提高了检测概率,特别是在信噪比较低的情况下性能改善较为明显。
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| 关 键 词： | 认知无线电 频谱感知 自适应阈值 DTV信号 |
Spectrum sensing algorithm based on optimal threshold |
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| WEI Miao,LIAN Qiu-sheng.Spectrum sensing algorithm based on optimal threshold[J].Journal of Yanshan University,2011,35(2):157-161. |
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| Authors: | WEI Miao LIAN Qiu-sheng |
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| Institution: | WEI Miao,LIAN Qiu-sheng(College of Information Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China) |
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| Abstract: | Covariance absolute value sense algorithm(CAV) use the spectrum sensing strategy of the fixed threshold and fixed false alarm probability,so it can not guarantee at any time to achieve optimal spectrum sensing performance.To improve the spectrum sensing performance,it contains reducing interference probability with primary user and increasing the utilization of idle spectrum,namely,to reduce false alarm probability and missed probability at most.Therefore,covariance absolute value sense algorithm is improve... |
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| Keywords: | cognitive radio spectrum sensing adaptive threshold DTV signal |
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