基扩展模型联合反馈DFT信道估计算法

The Channel Estimation Algorithm with Basis Expansion Model Combined Feedback Packet DFT

 为了提高快速移动OFDM系统的信道估计的精度,进一步抑制载波间干扰(ICI),本文提出了一种基扩展模型(BEM)联合反馈分组DFT的信道估计算法(BEM + DFT)。首先,利用BEM算法估计出快速移动的信道信息和载波间干扰,然后,利用分组DFT算法进行二次信道估计,并对ICI及其他干扰进行二次消除,从而更加精确的估计出信道且进一步提升系统性能。仿真结果表明:本文建议的GCE-BEM + DFT和KL-BEM + DFT算法性能相对于分组DFT算法、GCE-BEM和KL-BEM性能有了明显的提升。

To improve the fast-moving OFDM system channel estimation accuracy and further inhibit inter-carrier interference (ICI), we propose a channel estimation algorithm (BEM + DFT) with basis expansion model (BEM) combined feedback packet DFT. First, the BEM algorithm is used to estimate the fast moving channel information and the inter-carrier interference. And then, the packet DFT algorithm is used to further estimate the channel information and eliminate the ICI interference, etc. So the proposed algorithm can achieve more accurate estimate of the channel, and further enhancement in the performance of the system. Simulation results show that the proposed GCE-BEM + DFT and KL-BEM + DFT algorithm performance has been significantly improved compared to the grouping DFT algorithm, GCE-BEM and KL-BEM algorithm.