提出了基于梳状导频分布的OFDM信道估计的改进算法,分别在基于频域(DFT)和时域(IDFT)的迫零内插算法的基础上运用了数据翻转的思想。该算法可以大大地减少DFT/IDFT变换时所产生的边缘效应,并且通过优化边缘位置的估计性能来提升整个OFDM信道估计的精确度。仿真结果表明,该算法相比经典算法在性能上有较大提升。
A new channel estimation algorithm is proposed based on comb-type pilot in OFDM systems, which employs data-flipping in the frequency or time domain interpolation based on zero-padding and DFT/IDFT. This algorithm can significantly reduce the Gibbs phenomenon caused by DFT/IDFT, so that it can improve the OFDM estimation accuracy by optimizing the interpolation accuracy of periphery. Simulation result shows that this algorithm has a better performance compared with other classic methods.