认知无线电加权软合并联合频谱感知算法

doi:10.3969/j.issn.0255-8297.2013.02.002

应用科学学报 ›› 2013, Vol. 31 ›› Issue (2): 116-122.doi: 10.3969/j.issn.0255-8297.2013.02.002

认知无线电加权软合并联合频谱感知算法

刘鑫，谭学治，赵莹

哈尔滨工业大学通信技术研究所，哈尔滨150080

收稿日期:2011-04-07 修回日期:2011-09-07 出版日期:2013-03-25 发布日期:2011-09-07
通信作者: 刘鑫，博士后，研究方向：认知无线电，E-mail: liuxinstar1984@sohu.com
作者简介:刘鑫，博士后，研究方向：认知无线电，E-mail: liuxinstar1984@sohu.com；谭学治，博士，教授，研究方向：无线通信技术、认知无线电，E-mail: tanxzhit@gmail.com
基金资助:
国家自然科学基金(No.61071104) 资助

Cooperative Spectrum Sensing Algorithm with Soft Fusion Based on Weighting

LIU Xin, TAN Xue-zhi, ZHAO Ying

Communication Research Center, Harbin Institute of Technology, Harbin 150080, China

Received:2011-04-07 Revised:2011-09-07 Online:2013-03-25 Published:2011-09-07

摘要/Abstract

摘要： 为了提高认知无线电的频谱感知性能，提出了对认知无线电用户的检测信息进行加权软合并的联合频谱感知算法. 该算法通过降低对授权用户的干扰和提高认知无线电吞吐量，分别使用最小化干扰加权和最大化吞吐量加权. 算法为信噪比高的用户或者到合作中心信道增益低的用户分配较大的权重，能够提高高信噪比用户的检测信息在合作检测中所占的比例，同时补偿信道衰落对检测信息带来的损失. 仿真表明：该算法的性能比基于信噪比加权或非加权的算法更好，能够降低干扰并提高吞吐量，同时能够降低信道衰落对联合频谱感知性能带来的影响.

关键词: 认知无线电, 联合频谱感知, 能量检测, 软合并

Abstract: To improve the spectrum sensing performance, this paper proposes cooperative spectrum sensing that fuses the sensing information from every cognitive radio with soft fusion based on weighting. To reduce interference to the primary user and improve throughput of cognitive radio, two kinds of weight selection
methods that minimize interference and maximize throughput are proposed. As large weighting is allocated to the cognitive radios with high SNR or low channel gain to the coordinator, proportion of the sensing information sent by the cognitive radio with high SNR to the fusion information at the coordinator is increased. Lost information due to channel fading is compensated. Simulation results show that performance of the algorithm is better than those based on SNR weighting and those without weighting. The proposed algorithm can also reduce influences of the fading channel on detection performance. The results show that, by selecting appropriate weights, interference can be reduced and throughput increased.

Key words: cooperative spectrum sensing, energy detection, soft fusion, cognitive radio

中图分类号:

TN914.3

刘鑫，谭学治，赵莹. 认知无线电加权软合并联合频谱感知算法[J]. 应用科学学报, 2013, 31(2): 116-122.

LIU Xin, TAN Xue-zhi, ZHAO Ying. Cooperative Spectrum Sensing Algorithm with Soft Fusion Based on Weighting[J]. Journal of Applied Sciences, 2013, 31(2): 116-122.

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认知无线电加权软合并联合频谱感知算法

Cooperative Spectrum Sensing Algorithm with Soft Fusion Based on Weighting

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