【摘要】 该文提出了时变平坦衰落信道环境下多输入多输出(M IMO)通信系统中一种新的基于递归最小二乘法(RLS)的带干扰对消的信道跟踪方法(RLS-IC)。该方法将每个数据子流上的进行信道跟踪的滤波器等效为一个加长的新的滤波器,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信道跟踪滤波器参数。仿真结果表明,该文提出的带干扰对消的信道跟踪方法可以更好地跟踪信道变化,节省训练序列开销,同时比已有的递归最小二乘方法能提供更好的误符号率(SER)性能。更多还原

【Abstract】 In this paper,a novel channel tracking algorithm based on Recursive Least Squares(RLS-IC) is proposed for Multi-input multi-output(MIMO) wireless communication systems under frequency flat fading with time variation environment.This algorithm changes the channel tracking filter of each sub-stream to an equal new longer filter,and takes the sub-streams that have been detected as the new input parameters,then uses RLS algorithm to update the filter coefficients.Simulation results show that the new RLS-IC channel tracking algorithm can adaptively track the variation of wireless channel and save the overhead of training sequence.At the same time,the proposed scheme can provide a better symbol error rate(SER) performance than the existing RLS algorithm.更多还原