基于GAIC的MIMO-OFDM信道估计

GAIC Based Approach for Channel Estimation in MIMO-OFDM Systems

对于多径稀疏的多输入多输出正交频分复用(Multiple-input and multiple-output orthogonal frequency di-vision multiplexing,MIMO-OFDM)信道,提出了基于广义Akaike信息论准则(Generalized Akaike informationcriterion,GAIC)的MIMO-OFDM系统实用的信道估计算法,该算法能够估计出信道的长度和每径信道的时延,降低加性白噪声对信道估计的影响,提高信道估计的精度。通过仿真,与最小二乘(Least squares,LS)算法和离散傅里叶变换(Discrete Fourier transform,DFT)算法相比较,大大地降低了信道的估计误差,提高了系统性能,且信道稀疏性越强,性能改善越好。

For a sparse multi-path MIMO-OFDM channel, a generalized Akaike information criterion （GAIC） based channel estimation applied approach is proposed. The channel length and the time delays of each path can be identified by using the proposed method. The performance loss caused by AWGN（Additive white Gaussian noise） can be reduced and the channel estimation precision can be improved with the approach. Simulation results show that compared with DFT method and the previous approach, the method can reduce the channel estimation error and improve the system performance. Meanwhile as the number of channel path decreases, the proposed method performs better.