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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。
In order to balance the multiple input multiple output (MIMO) system, an adaptive equalization method based on adaptive filtering algorithm is proposed. The structure of MIMO channel equalization problem is modeled as a simplified filtering model by using the structure of decision feedback equalizer (DFE). This filter model transforms the design of the equalizer in the equalization of the MIMO system into the design of the optimal filter in the adaptive filtering. Two typical adaptive filter design algorithms - LMS algorithm and RLS algorithm are applied to the simulation in the model. The simulation results show the convergence of the algorithm and the feasibility of the equalization method. This adaptive equalization method does not need to identify the channel, with a smaller amount of computation, and can adapt to channel changes.