用滤波器组构成的传送多路复用器结构实现MMSE盲信道均衡

摘要

冗余滤波器组构成的传送多路复用器可以用来对FIR信道进行估计和均衡.本文提出一种在FIR滤波器组框架结构下,首先利用信号的相关矩阵对信道进行估计,然后在此基础上用MMSE准则下设计的FIR均衡器对数据进行均衡的盲算法.该均衡算法的性能要明显好于基于ZF准则的方法,并且在消除ISI的同时可以抑制噪声的影响,从而使系统的输出信噪比达到最优,而增加的复杂度很有限.文中最后在两种典型信道下对所提出的盲信道均衡算法进行了仿真,结果验证了上述性能.%Transmultiplexers based on filter bank structure can be used in estimation and equalization of finite impulse response (FIR) channels. In this paper we introduce a new equalization scheme under the FIR filter bank framework. Firstly, we use the correlation matrix to identify the unknown channel, and then equalize the received data with a FIR post-equalizer under the minimum mean square error (MMSE) criterion. It is shown that the new MMSE-based method outperforms zero forcing (ZF) equalizer. It can mitigate the intersymbol interference (ISI) and depress the noise amplification effect simultaneously, and subsequently maximizes the signal to noise ratio of the system at the receiver. We obtain the SNR performance in a closed form. Simulation examples demonstrate its good performance.