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基于行列式之差的频谱盲感知算法
引用本文:陈小波,陈红,陈银.基于行列式之差的频谱盲感知算法[J].电子信息对抗技术,2012,27(5):11-13,53.
作者姓名:陈小波  陈红  陈银
作者单位:1. 电子工程学院,合肥,230037
2. 哈尔滨工业大学,哈尔滨,150001
摘    要:为了提高频谱感知性能,提出一种基于自相关矩阵行列式的频谱感知新方法,通过授权信号与噪声信号行列式的不同构建统计量。该方法无需信号先验信息、噪声功率信息与精确同步,是一种适用性更强的盲感知算法。仿真表明,与能量检测算法相比,该方法能够取得更好的检测率,且具有复杂度低、不受噪声不确定性影响等优点。

关 键 词:频谱感知  行列式  自相关矩阵  信号能量  认知无线电

Blind Sensing Algorithm on Determinants Difference
Authors:CHEN Xiao-bo  CHEN Hong  CHEN Yin
Affiliation:1 .Electronic Engineering Institute, Hefei 230037, China;2. Harbin Institute of Technology, Harbin 150001, China)
Abstract:To improve the performance of spectrum sensing for cognitive radio (CR), a novel sensing algorithm based on the determinants of autocorrelation matrix is presented. The difference between de- terminants is employed as the test statistic, the method is blind without any priori knowledge including signal information or the noise power, even the precise synchronization is not required. Thus, this method is applicable more abroadly. Simulation results demonstrate that the proposed sensing algo- rithm outperforms the energy detection with different noise uncertainties. What' s more, the method proposed is not influenced by the noise uncertainty and has a low computational complexity.
Keywords:spectrum sensing  determinant  autocorrelation matrix  signal power  cognitive radio
本文献已被 CNKI 维普 万方数据 等数据库收录!
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