基于施密特正交变换的快速盲频谱感知算法  

Fast and blind spectrum sensing method based on Gram-Schmidt orthogonalization

作　　者：包志强[1] 马艳[1] 卢光跃[1] 

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710121

出　　处：《西安邮电大学学报》2016年第2期20-26,共7页Journal of Xi’an University of Posts and Telecommunications

基　　金：国家自然科学基金资助项目(61271276);陕西省自然科学基金资助项目(2012JQ8011)

摘　　要：为了解决噪声不确定环境下的盲频谱感知问题,提出一种基于接收信号格拉姆-施密特正交变换的快速盲频谱感知算法(Blind sensing method based on the Gram-Schmidt Orthogonalization,BS-GSO)。先通过多天线接收获得的采样矩阵来构造统计协方差矩阵,利用似然比准则和施密特正交变换构造检验统计量并获得判决表达式,再应用中心极限定理和泰勒展开式推导出非渐进的判决门限。蒙特卡洛实验仿真结果表明,BS-GSO算法有效、稳健,且计算复杂度较低。In order to solve the problem of blind spectrum sensing under noise uncertainty environment,a fast and blind sensing method based on the Gram-Schmidt orthogonalization（BSGSO）of the received signals is proposed.Firstly,get the sample matrix from the multiple antennas at the receiver,and construct the statistical covariance matrix.Secondly,on the basis of likelihood ratio criterion and Schmidt orthogonalization,try to construct test statistics and obtain non-asymptotic expression.Thirdly,derive the decision threshold according to the central-limit theorem and Taylor expansion.The results of a Monte Carlo simulation experiment show that,the proposed method is of effectiveness,robustness,and low computational complexity.

关 键 词：认知无线电 盲频谱感知 格拉姆-施密特正交变换 

分 类 号：TN92[电子电信—通信与信息系统]