基于DFT与FEC迭代的OFDM系统信道估计

摘要

在OFDM系统中，常见的信道估计方法有基于DFT的信道估计和基于维纳滤波的信道估计。传统的DFT信道估计对于最大时延内的噪声不能很好地抑制，而维纳滤波信道估计需要知道信道的相关特性。因此，介绍传统的DFT和维纳滤波的信道估计方法，并基于此提出一种DFT和前向纠错码（FEC）迭代的信道估计方法。该信道估计方法利用前向纠错码的性能来修正信道估计的结果，以降低误码率。实验仿真证明，该方法能够有效提升信道估计的性能。%In OFDM systems,DFT-based method and wiener filter-based method are the common channel estimation methods.Conventional DFT-based algorithm couldn’t fairly suppress the noise in the maximum time-delay, while the wiener filter-based method requires the knowing of channel correlation in advance. With the introduction of DFT-based and wiener filter-based methods, a novel channel estimation method based on DFT and FEC(Forward Error Correction) iterations is proposed, and this method makes use of FEC performance and amends the results of DFT-based estimation, and thus reduces the bit error rate.Simulation results indicate that the proposed method could improve the performance of channel estimation.