MIMO通信系统中一种新的自适应均衡方法

该文提出了时变频率选择性衰落环境下多输入多输出(MIMO)通信系统中一种新的基于递归最小二乘(RLS)的自适应干扰对消的判决反馈均衡方法(RLS-IC-DFE)。该方法将每个数据子流上的自适应判决反馈均衡器等效为一个加长的新的均衡器，并把已解出的子流数据作为新的输入参数，应用RLS算法自适应调整新的均衡器参数。仿真结果表明，该文提出的自适应干扰对消的判决反馈均衡器可以自适应跟踪信道变化，同时比已有的判决反馈均衡器(RLS-DFE)能提供更好的误符号率(SER)性能。

A Novel Adaptive Equalization Algorithm for MIMO Communication System

In this paper, a novel adaptive Interference Cancellation Decision Feedback Equalization algorithm based on Recursive Least Squares (RLS-IC-DFE) is proposed for Multi-Input Multi-Output (MIMO) wireless communication systems under frequency selective with time variation environment. This algorithm changes the equalizer of each sub-stream to an equal new longer equalizer, and takes the sub-streams that have been detected as the new input parameters, then uses RLS algorithm to update the parameters of the new equalizer. Simulation results show that the new adaptive RLS-IC-DFE equalizer can adaptively track the variation of wireless channel and save the overhead of training sequence. At the same time, the proposed scheme can provide the better Symbol Error Rate (SER) performance than the existed RLS-DFE algorithm.