摘要
近年来,统计信号处理已经成为无线通信的发展中的一项关键技术。针对双输入双输出情况下,交叉信号混叠的信道的盲辨识问题介绍了一种分析解法,数学工具是二阶统计,针对这种方法,对它作了性能分析,仿真结果表明这种结果可以较好的辨识混叠滤波器,具有较强的鲁棒性;并用维纳滤波的方法恢复出了原始语音信号,证明这种方法也适用于非平稳信号的情况。
A special case of MIMO system, i.e., a 2 × 2 system case is considered, which is recently addressed in much reseach work using frequency-domain correlations of the system output. In this paper, the two-input-two-output（TITO） blind crosswise mixture identification based on eigenvalue decomposition of second-order spectra correlations is described first, and then the robustness of method analyzed. The simulation result proves the perfect performance of this algorithm.
出处
《通信技术》
2010年第2期7-9,共3页
Communications Technology
关键词
盲信道辨识
二阶统计
鲁棒性
blind channel identification
second-order statistics
robustness
