采用循环前缀的OFDM信道盲估计算法
Blind Channel Estimation Using the Cyclic Prefix for OFDM Systems
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摘要: 在无线OFDM通信系统中,信道参数估计一直备受关注。该文基于最大似然估计原理,提出了一种改进的盲信道估计算法,利用并根据循环前缀的周期平稳性来进行信道盲估计。该算法是在接收端DFT之前进行信道估计和均衡。研究和仿真表明,该算法不仅显著地减少了运算的复杂度,而且使系统性能也得到了一定程度的改善。Abstract: Channel estimation is a very important problem that has been paid much attention in orthogonal frequency division multiplexing (OFDM) communication system. In this paper, an improved blind OFDM channel estimation algorithm based on maximum likelihood is proposed. The improved algorithm uses the cyclic prefix (CP) processing to implement channel blind estimation. It estimates the influence of the OFDM channel before DFT. The analysis and simulation results show that the method proposed both reduces the computation complexity obviously and improves its performance in theory.