摘要
由于认知无线电网络中的典型硬决策协作频谱检测在数据融合时未考虑各认知用户检测结果的差异性,不能很好地提高检测性能,因此,提出了一种基于检测可信度的协作频谱检测算法.首先,利用各认知用户的平均接收信噪比来获得它们的检测可信度;然后,综合各认知用户的检测结果以及检测可信度来判断授权用户是否使用频带,从而提高了检测性能.仿真结果表明,在低信噪比情况下,相比典型硬决策协作频谱检测,该算法具有较优的接收特性曲线,并在合理选取认知用户检测阈值的条件下,具有较低的检测错误概率.
The current cooperative spectrum sensing algorithm with typical hard decisions in cognitive radio networks can not improve sensing capability efficiently due to allocating the same weight to secondary users＇ decisions in data fusion. To solve the problem, this paper proposes a cooperative spectrum sensing algorithm based on sensing credibility （SC-CSS）. It gets secondary users＇ sensing credibility from their average received SNRs, integrates both their independent decisions and sensing credibility to fuse data, and makes a final sensing decision to improve sensing capability. Simulation results show that compared to the cooperative spectrum sensing algorithm with typical hard decisions, SC-CSS has a better receiver characteristic curve （ROC） and can achieve a lower detection error probability by suitably selecting the detecting threshold for secondary users for a low SNR.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第5期79-84,共6页
Journal of Xidian University
基金
国家创新研究群体科学基金资助项目(60921001)
973计划资助项目(2010CB731803)
国家自然科学基金资助项目(60933012)
国家科技重大专项资助项目(2009ZX03006-001-003)
中央高校基本科研业务费专项资金资助项目(YWF-10-01-A16)
北京航空航天大学"蓝天新星"计划资助项目(221235)
关键词
认知无线电网络
频谱检测
协作频谱检测
检测可信度
cognitive radio networks
spectrum sensing
cooperative spectrum sensing
sensing credibility
