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兵工学报 ›› 2016, Vol. 37 ›› Issue (10): 1837-1843.doi: 10.3969/j.issn.1000-1093.2016.10.010

• 论文 • 上一篇    下一篇

基于期望偏差和广义似然比检验的非重构宽带压缩盲感知

焦传海1,2, 李永成1, 谢恺2, 杨运甫2   

  1. (1.电子信息系统复杂电磁环境效应国家重点实验室, 河南 洛阳 471003;2.陆军军官学院, 安徽 合肥 230031)
  • 收稿日期:2016-03-15 修回日期:2016-03-15 上线日期:2016-12-08
  • 通讯作者: 焦传海 E-mail:jiao_chuanhai@126.com
  • 作者简介:焦传海(1983—), 男, 讲师
  • 基金资助:
    电子信息系统复杂电磁环境效应国家重点实验室开放课题基金项目(CEMEE2015Z0203B); 安徽省自然科学基金项目(1608085QF143)

Wideband Compressed Blind Sensing without Reconstruction Based on Expectation Deviation and Generalized Likelihood RatioTest

JIAO Chuan-hai1,2, LI Yong-cheng1, XIE Kai2, YANG Yun-fu2   

  1. (1.State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,2.Army Officer Academy,Hefei 230031,Anhui, China)
  • Received:2016-03-15 Revised:2016-03-15 Online:2016-12-08
  • Contact: JIAO Chuan-hai E-mail:jiao_chuanhai@126.com

摘要: 为了克服传统宽带频谱感知方法存在的不足,提出了一种基于期望偏差(ExD)和广义似然比检验(GLRT)的合作式非重构宽带压缩盲感知方法,简称ExD-GLRT方法。该方法直接利用压缩采样观测数据的数字特征构建检测统计量,基于ExD进行本地混合判决;认知基站将本地判决信息分为软判决和硬判决两类,采用基于非重构的GLRT方法对软判决信息进行可靠性融合检测,并给出最终判决结果。理论分析和仿真结果表明,该方法是一种盲感知方法,既不需要主用户信号先验知识,也不需要噪声方差信息,可有效提高频谱感知能力,且计算复杂度较低。

关键词: 信息处理技术, 压缩感知, 宽带频谱感知, 广义似然比检验, 盲感知

Abstract: A scheme of cooperative wideband compressed blind sensing without reconstruction based on expectation deviation (ExD)and generalized likelihood ratio test (GLRT) , called ExD-GLRT, is proposed to overcome the disadvantages of the traditional wideband spectrum sensing algorithms. The test statistic is extracted from the numerical characteristics of the compressed samples for local mixed spectrum sensing. The cognitive base station (CBS) categorizes the local detection results into two groups and makes a credibility fusion of soft detection results based on GLRT without reconstruction. A global decision is made in CBS. Theoretical analysis and simulated results show that the proposed method is a blinding sensing method which does not require a priori knowledge of signal or noise variance, and can enhance the spectrum sensing capability with low computational complexity.

Key words: information processing technology, compressed sensing, wideband spectrum sensing, generalized likelihood ratio test, blind sensing

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