基于叠加训练序列的MIMO-OFDM信道估计

为提高无线信道的传输性能,提出了改进的基于ST技术的MIMO-OFDM系统信道估计的训练序列算法。利用训练序列与信息序列的不相关性,估计出信道参数。即使在存在通道失配误差和通道的量化误差的情况下,用有量化的反馈的基于信道估计的训练序列也能改进系统的性能,信道采用10 bit的量化器就能满足一般性能要求。讨论了使用信道互信息最大化的最优导频序列的设计。

Channel estimation in MIMO-OFDM systems based on superimposed training

In order to improve the transmission performance of wireless channels,the improved training sequence based channel estimation algorithm in MIMO-OFDM system was proposed.Using irrelevance of the training sequence and information sequence,the channel parameters was estimated.Even in the presence of channel mismatch errors and channel quantization error,quantitative feedback channel estimation training sequence can improve the performance of the system.10-bit quantizer can fulfill the general performance requirements.And then the design of the optimal pilot sequence using the channel to maximize the mutual information was discussed.