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作 者:范聪聪 张天骐[1] 梁先明[2] FAN Cong-cong;ZHANG Tian-qi;LIANG Xian-ming(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Southwest China Institute of Electronic Technology,Chengdu 610036,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]中国西南电子技术研究所,四川成都610036
出 处:《计算机工程与设计》2020年第5期1274-1279,共6页Computer Engineering and Design
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基金项目(CSTC2009CA2003);重庆市研究生科研创新基金项目(CYS17219);重庆市教育委员会科研基金项目(KJ1600427、KJ1600429)。
摘 要:为解决非协作通信中多输入多输出-正交频分复用(MIMO-OFDM)信号的参数盲估计问题,提出基于循环自相关结合四阶循环累积量的多参数估计方法。求MIMO-OFDM信号的自相关函数,对其傅里叶变换后得到循环自相关函数,通过对循环自相关三维图不同切面的分析估计出符号周期、有用符号时间、循环前缀时间;求MIMO-OFDM信号的四阶循环累积量,通过检测峰值的数目及其对应的循环频率估计出子载波数及子载波频率。仿真结果表明,在较低信噪比下,所提算法可准确估计出MIMO-OFDM信号的多个参数。To solve the problem of blind parameter estimation for multi-input multi-output-orthogonal frequency division multiplexing(MIMO-OFDM)signals in non-cooperative communication,a multi-parameter estimation method based on cyclic autocorrelation and fourth-order cyclic cumulants was proposed.The autocorrelation function of MIMO-OFDM signal was obtained,and the cyclic autocorrelation function was obtained after Fourier transform.The symbol period,useful symbol time and cyclic prefix time were estimated by analyzing the different sections of the cyclic autocorrelation three-dimensional graph.The fourth-order cyclic cumulants of MIMO-OFDM signals were calculated.The number of subcarriers and subcarrier frequencies were estimated through the number of detected peaks and their corresponding cyclic frequencies.The simulation results show that the proposed algorithms can accurately estimate multiple parameters of MIMO-OFDM signals at low SNR.
关 键 词:多输入多输出-正交频分复用 循环自相关 四阶循环累积量 参数盲估计 非协作通信
分 类 号:TN911.7[电子电信—通信与信息系统]
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