一种针对MIMO-OFDM相关信道的去耦合预测方法

A decoupled predictor for correlated MIMO-OFDM channel

现代无线通信系统中,大都需要在接收端测量信道质量并反馈给发送端。对于时变信道的反馈延时会严重影响发送策略的选取,降低系统的总体性能。针对MIMO-OFDM相关信道,提出一种有效利用时频空三维相关性的低复杂度方法,来跟踪预测信道的时频空变化情况。仿真结果显示,提出的算法可以实现预测性能和算法复杂度的有效折中。

In modern wireless communication systems, Channel State Information（CSI） is mostly estimated at the receiver and fed back to the transmitter. Unfortunately, the CSI arriving at the transmitter would be outdated due to feedback delay, which may cause significant performance degradation. A trade-off way is proposed, which exploits the time, space, frequency correlation effectively while maintaining a low complexity. First, it is analyzed that the channel correlation can be decoupled into time, space, frequency part. Then, three separate 1-D filters are used which consider time, frequency, spatial correlation respectively based on the separation property of the channel correlation function. Simulation results show that a trade-off between an attractive prediction performance and computational complexity in correlated MIMO-OFDM systems is realized in the proposed algorithm.