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作 者:张天骐[1,2] 范聪聪 喻盛琪 赵健根 ZHANG Tianqi;FAN Congcong;YU Shengqi;ZHAO Jiangen(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Laboratory of Signal andInformation Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学信号与信息处理重庆市重点实验室,重庆400065
出 处:《系统工程与电子技术》2020年第4期933-939,共7页Systems Engineering and Electronics
基 金:国家自然科学基金项目(61671095,61702065,61701067,61771085);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市研究生科研创新项目(CYS17219);重庆市教育委员会科研项目(KJ1600427,KJ1600429)资助课题
摘 要:针对非协作多输入多输出通信系统中正交空时分组码(orthogonal space-time block codes,OSTBC)与非正交空时分组码(non-orthogonal space-time block code,NOSTBC)的盲识别问题,提出结合特征值矩阵联合近似对角化(joint approximate diagonalization of eigenvalue matrix,JADE)与特征提取的盲识别方法。首先将接收信号转换为盲源分离问题中的线性瞬时混合模型,然后利用JADE算法估计出该模型的虚拟信道矩阵,根据该信道矩阵的相关矩阵为数量矩阵的特点,从相关矩阵中提取特征参数,利用此特征参数识别OSTBC与NOSTBC。仿真结果表明,在较低信噪比以及不同的调制模式下,所提方法均可有效识别出OSTBC与NOSTBC。Aiming at the blind recognition of orthogonal space-time block codes(OSTBC)and non-orthogonal space-time block codes(NOSTBC)in non-cooperative multiple input multiple output communication systems,a blind recognition method combining joint approximate diagonalization of eigenvalue matrix(JADE)and feature extraction is proposed.Firstly,the received signal is transformed into a linear instantaneous hybrid model in blind source separation problem.Then the virtual channel matrix of the model is estimated by the JADE algorithm.According to the characteristic that the correlation matrix of the channel matrix is a quantitative matrix,the characteristic parameters are extracted from the correlation matrix,and the characteristic parameters are used to identify OSTBC and NOSTBC.The simulation results show that the proposed method can effectively recognize OSTBC and NOSTBC under low signal-to-noise ratio(SNR)and different modulation modes.
关 键 词:正交空时分组码 非正交空时分组码 特征值矩阵联合近似对角化 特征提取 盲识别
分 类 号:TN911.7[电子电信—通信与信息系统]
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