MIMO-OFDM系统中一种改进的最大似然信道估计算法*

对MIMO-OFDM系统中的信道估计进行研究,提出了一种对最大似然（ML）算法的改进，该算法首先采用ML算法获得初始估计值,然后联合检测进行迭代信道估计，充分利用上了接收端联合数据检测得到的数据信号信息与信道估计进行信息交互来提高估计性能，仿真结果表明，相对于传统估计方法，这种改进方法能够得到更好的均方误差和误码率性能，尤其是在导频数量较少时，此改进算法的性能提升将更明显。

Improved ML algorithm for MIMO-OFDM systems

Channel estimation for multiple input multiple output and orthogonal frequency division multiplexing (MIMO-OFDM) systems is investigate,and an improved channel estimation method based on maximum likelihood (ML) algorithm for MIMO-OFDM systems is proposed in this paper.This algorithm obtains a temporal channel estimation using ML algorithm,and associates with data-detection algorithms in the receiver and makes full use of the all data signal detected to improve the performance.Simulation results show that,compared with traditional estimation methods,the improve algorithm provides better mean square error and bit error rate performance obviously,especially for fewer pilot-tone scenarios.