重庆大学学报：自然科学版2012，Vol.35Issue(4)：112-116,5.
双门限相对距离加权协同频谱感知算法
A cooperative spectrum sensing algorithm with double-threshold relative distance weighting
摘要
Abstract
The single-node energy detection has the drawbacks of low accuracy and ＂Hidden terminal＂, while the cooperative spectrum sensing algorithms usually use equivalent weights for data fusion instead of considering the influences to the detection performance resulting from the communication environment of different nodes. In order to solve these problems, a novel weighted cooperative spectrum sensing algorithm is proposed. The proposed algorithm is based on the double-threshold energy detection. According to the relation between the single-node dual-threshold setting and the node perceiving performance, the single- node dual-threshold relative distance is used as a credit for weighted cooperative data fusion. The simulation result proves that, compared with the single node double-threshold energy detection and the cooperative spectrum sensing algorithm based on OR-rule, the proposed algorithm can achieve reliable sensing performance with low SNR.关键词
认知无线电/能量检测/双门限/协同频谱感知Key words
cognitive radio/energy detection/double-threshold/cooperative spectrum sensing分类
信息技术与安全科学引用本文复制引用
冯文江,孟器宇,秦春玲,宋麟..双门限相对距离加权协同频谱感知算法[J].重庆大学学报：自然科学版,2012,35(4):112-116,5.基金项目
国家自然科学基金资助项目 （）
国家“211工程”创新人才培养计划资助项目 （）
