基于自适应滤波算法的FIR MIMO系统均衡

为了实现对多输入多输出(MIMO)系统的均衡,提出了一种基于自适应滤波算法的自适应均衡方法。应用判决反馈式均衡器(DFE)的结构,把MIMO信道均衡问题的模型建模成一个简化的滤波模型。这个滤波模型使MIMO系统均衡问题中均衡器的设计问题转化为自适应滤波中最优滤波器的设计问题。两种典型自适应滤波器设计算法——LMS算法和RLS算法被应用于该模型中进行仿真,仿真结果显示了算法的收敛性和均衡方法的可行性。这种自适应均衡方法不需要对信道进行辨识,具有较小的运算量,并且可以适应信道变化。

Equalization of FIR MIMO systems using an adaptive filter algorithm

An adaptivespatio-temporal equalization method was developed for multiple input-multiple output (MIMO) channels. The MIMO equalization problem is formulated into a simple adaptive filter model based on a decision feedback equalizer (DFE). Thus, the MIMO equalizer design is readily obtained from an optimized filtering algorithm. Computer simulations with LMS and RLS adaptive algorithms illustrate the promising performance of the technique which does not require channel identification is not computationally burdensome, and enables the equalizer to adapt to channel changes.