噪声功率不确定下协同频谱感知最优融合算法

›› 2014, Vol. 27 ›› Issue (5): 156-.

噪声功率不确定下协同频谱感知最优融合算法

段鹏

(中国电子科技集团第20研究所通信事业部,陕西西安 710068)

出版日期:2014-05-15 发布日期:2014-05-14
作者简介:段鹏(1982—),男,博士,工程师。研究方向:数字信号处理,宽带数字信号处理物理层研究与实现。E-mail:torres0114@yahoo.cn

Optimal Fusion Method for Cooperative Spectrum Sensing Under Noise Power Uncertainty

(Communications Division,No.20 Institute of China Electronics Technology Group,Xi'an 710068,China)

Online:2014-05-15 Published:2014-05-14

摘要/Abstract

摘要：

研究了噪声功率波动性对单点和协同频谱感知性能地影响。分析了在此环境下,单点基站的检测概率与采样点个数的关系,并得出当信噪比不小于噪声功率波动系数的两倍时,基站仍可正常检测。在协同网络中,给出了此环境下数据融合方法的最优权重设定。理论分析与实验表明,相比于传统方法,文中所提最优数据融合算法在各种信噪比环境下性能均较优,尤其在各基站信噪比差异较大时,性能更为显著。

关键词: 认知无线电, 频谱感知, 协同网络, 噪声功率波动性

Abstract:

The performance of spectrum sensing is investigated under the noise power fluctuation circumstances.Firstly,the lowest signal noise ratio (SNR) of which the base user can work normally is analyzed.And,when the SNR is larger than the twice parameter of noise power fluctuation,the reliable detection information can be attained.Moreover,under noise power fluctuation environments,the optimal fusion method can be proposed for cooperative spectrum sensing.Theoretical analysis and experiments show that the better performance of the proposed data fusion scheme can be attained in various SNR situations,especially in the larger difference of SNR environments.

Key words: cognitive radio;spectrum sensing;cooperative networks;noise power fluctuation

中图分类号:

TN911

段鹏. 噪声功率不确定下协同频谱感知最优融合算法[J]. , 2014, 27(5): 156-.

DUAN Peng. Optimal Fusion Method for Cooperative Spectrum Sensing Under Noise Power Uncertainty[J]. , 2014, 27(5): 156-.

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