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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。
In recent years, statistical signal processing has become a key technology in the development of wireless communications. Aimed at the problem of blind identification of cross-signal aliasing channel in the case of dual-input and dual-output, an analytical solution is introduced. The mathematical tool is second-order statistics. For this method, performance analysis is given. The simulation results show that this result Can better identify the alias filter, with strong robustness; and use the Wiener filter method to recover the original speech signal, proves that this method is also suitable for non-stationary signal situation.