吉首大学学报(自然科学版)

• 信息与通信 • 上一篇    下一篇

一种改进的基于取样协方差矩阵特征值之比的盲频谱感知算法

王韩瑞,黄小玉,江玮,翟丰鋆,雷可君   

  1. (吉首大学信息科学与工程学院,湖南 吉首 416000)
  • 出版日期:2017-11-25 发布日期:2017-12-29

An Improved Blind Spectrum Sensing Algorithm Based on the Ratio of Eigenvalues of the Sample Covariance Matrix

WANG Hanrui,HUANG Xiaoyu,JIANG Wei,ZHAI Fengyun,LEI Kejun   

  1. (College of Information Science and Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2017-11-25 Published:2017-12-29
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (No.61362018),the key projects of Hunan Provincial Department of Education (No.16A174),the Jishou University Doctoral Talent Introduction Project,and the project for Inquiry Learning and Innovative Experiment for College Students of Hunan Province (2016[283])

摘要:

基于最大最小特征值之比(MME)的盲频谱感知算法在认知无线电领域引起了广泛关注.该方法最大的优势在于其感知判决过程无需无线信道、噪声方差和主用户信号等先验信息.然而在实际应用过程中,MME算法的理论判决门限值的确定相当麻烦.笔者提出了一种基于改进判决门限的MME盲频谱感知算法。与传统的MME算法相比,改进的MME算法能够产生更加可靠的检测结果.实验仿真验证了新算法的有效性.

关键词: 认知无线电, 盲频谱感知, 最大-最小特征值之比, 取样协方差矩阵, 随机矩阵理论

Abstract:

The blind spectrum sensing algorithm based on the ratio of the maximum and minimum eigenvalues (MME) has attracted much attention in cognitive radio (CR).One of the main advantages of this method is that no prior information of the wireless channel,the noise variance and the primary signal pattern is needed in the process of spectrum sensing.However,the determination of the corresponding decision threshold for MME method is still a difficult problem in practical applications.In this paper,a new MME method based on the improved decision threshold has been proposed.The proposed MME algorithm can obtain more reliable detection performance than the original algorithms.Simulation results verify the effectiveness of the proposed MME method.

Key words: Cognitive radio, blind spectrum sensing, the ratio of the maximum and minimum eigenvalues (MME), the sample covariance matrix (SCM), random matrix theory (RMT)

公众号 电子书橱 超星期刊 手机浏览 在线QQ