TITO系统中盲FIR信道辨识方法的性能分析

近年来，统计信号处理已经成为无线通信发展中的一项关键技术．特别是被ISI和MAI严重污染的宽带多用户通信系统。针对TITO（Two-Input-Two-Output）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SOS（Second-Order-Statistics）。在阐述问题的时候，认为源谱和混叠信道都是未知的，如果源相关信息有效．这种方法能解决通常的MIMO（Multiple-Input-Multiple-Output）系统问题。针对这种方法，我们对他作了性能分析，仿真结果表明他可以较好地辨识混叠滤波器，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。

Performance Analysis of Blind FIR Chnanel Identification in TITO System

In recent years, the statistic signal processing has become a key technique in wireless communication development,especially the wideband multi - user communication system which was polluted by ISI and MAL The blind channel identification was propesed according to TITO, the math tool was SoS. The surcc spectrum and channal were unknown, the method can solve the problem of MIMO while source information was effective. Simulation result proved that the robustness of the method, perfect performance of the algorithm.