J4 ›› 2011, Vol. 38 ›› Issue (5): 79-84.doi: 10.3969/j.issn.1001-2400.2011.05.013

• 研究论文 • 上一篇    下一篇

认知无线电网络中的最佳可信度频谱检测算法

肖林;刘凯   

  1. (北京航空航天大学 电子信息工程学院,北京  100191)
  • 收稿日期:2010-08-10 出版日期:2011-10-20 发布日期:2012-01-14
  • 通讯作者: 肖林
  • 作者简介:肖林(1987-),男,北京航空航天大学硕士研究生,E-mail: polarylin@163.com
  • 基金资助:

    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)

Optimal credibility spectrum sensing algorithm in cognitive radio networks

XIAO Lin;LIU Kai   

  1. (School of Electronics and Info. Eng., Beihang Univ., Beijing  100191, China)
  • Received:2010-08-10 Online:2011-10-20 Published:2012-01-14
  • Contact: XIAO Lin

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.

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

Abstract:

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.

Key words: cognitive radio networks, spectrum sensing, cooperative spectrum sensing, sensing credibility

中图分类号: 

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