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认知无线电协作频谱感知混合加权算法

A Hybrid Weighted Algorithm of Cooperative Spectrum Sensing in Cognitive Radio Networks
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摘要 协作频谱感知的关键技术是降低控制信道开销,笔者提出了一种基于信噪比的加权协作检测算法,采用双门限混合加权判决,融合中心根据当前检测信道贡献大小,从而计算和分配相应的加权值,降低无效的传输.模拟结果表明:该算法不仅检测概率有明显的提高外,而且平均感知比特数下降,从而降低了公共信道的开销. The key technology of cooperative spectrum sensing is to reduce control channel costs.A weighted algorithm of cooperative spectrum sensing based on signal to noise ratio is proposed.The contribution is determined by the SNR of detection channel for soft decision result of double threshold,and a relevant weighted value is allocated.Thereby,the invalid transmission is reduced.The simulation results show thatt his,algorithm can improve cooperation detection probability;meanwhile,it can reduce average sensing bit and reduce overhead of common control channel.
作者 刘传清
出处 《吉首大学学报(自然科学版)》 CAS 2010年第5期50-54,共5页 Journal of Jishou University(Natural Sciences Edition)
基金 南京工程学院科研基金资助项目(KXJ08026)
关键词 认知无线电 协作频谱感知 迭代算法 加权算法 cognitive radio cooperative spectrum sensing iterative algorithm weighted algorithm
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参考文献9

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