Improved ML algorithm for MIMO-OFDM systems
MIMO-OFDM系统中一种改进的最大似然信道估计算法*

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.