认知无线电加权软合并联合频谱感知算法.pdfVIP

第 31 卷 第 2 期 应 用 科 学 学 报 Vol. 31 No. 2 2013年3月 JOURNAL OF APPLIED SCIENCES — Electronics and Information Engineering Mar. 2013 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， 学治， 赵 莹 哈尔滨工业大学 通信技术研究所，哈尔滨 150080 摘摘摘 要要要：：： 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 中图分类号：TN914.3 文章编号：0255-8297(2013)02-0116-07 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 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 we