在现有的OFDM系统联合迭代信道估计与符号检测算法的基础上,针对高速移动通信信道,利用RLS自适应滤波器在非平稳环境下有效跟踪输入统计量随时间变化的能力,提出了一类基于对迭代初始值进行RLS自适应预测的迭代信道估计算法.通过对每次迭代的初始值进行递归计算提高其有效性,减少了后继迭代次数,并提高了收敛值的准确性.仿真结果表明:和传统迭代算法相比,该算法加快了迭代收敛速度,提高了估计精度.在复杂度适当增加的前提下,降低了系统误码率,提高了系统性能.
Taking into account channel characteristics of high-speed mobile communication and using an RLS adaptive filter capable of tracking time variations of input statistics under non-stationary conditions, the paper presents an iterative joint channel-estimation and symbol-detection algorithm based on RLS adaptive predictor. Calculating initial channel values of each iterative estimation recursively, successive iteration times are reduced and convergence values become more accurate. Simulation results show that it improves convergence and system performance dramatically compared to conventional algorithms.