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基于注水原理的认知无线电协作频谱感知加权算法

A Weighted Algorithm of Cooperative Spectrum Sensing in Cognitive Radio Networks Based on Water-filling Principle
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摘要 协作频谱感知算法在提高频谱检测概率的同时也增加了控制信道开销,如何降低控制开销成为协作感知的关键技术之一.提出基于注水原理的加权协作检测算法,算法采用基于信噪比的能量检测器,根据检测信号的信噪比,用注水原理计算和分配权值,确定感知贡献,删除无效检测和传输.结果表明,提出的算法提高了检测概率,同时平均感知比特数下降,减少了控制信道开销. The algorithm of cooperative spectrum sensing in cognitive radio networks can improve detection probability of frequency spectrum sensing, and increase control channel costs at the same time. Therefore, an approach to reducing such costs is considered to be one of the key technologies regarding cooperative spectrum sensing. This paper proposes a detection algorithm of weighted cooperative spectrum sensing based on water-filling principle. An energy detector based on signal-to-noise ratio is employed. The weighted value is calculated and allocated by adopting water-filling principle based on the signal-to-noise ratio of detection signals. Besides, the sensing contribution is determined, and invalid detection and transmission are deleted. The results show that the proposed algorithm can increase detection probability, decrease the average number of sensing bits, and reduce control channel costs.
作者 刘传清
出处 《南京工程学院学报(自然科学版)》 2011年第4期15-20,共6页 Journal of Nanjing Institute of Technology(Natural Science Edition)
基金 南京工程学院科研资助项目(KXJ08026)
关键词 认知无线电 协作频谱感知 注水原理 加权算法 cognitive radio cooperative spectrum sensing water-filling principle weighted algorithm
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参考文献10

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