基于叠加导频的迭代信道估计算法研究

Researches of Iterative Channel Estimation Based on Superimposed Pilot

在对采用叠加导频的OFDM系统进行分析的基础上,提出了一种改进的叠加导频的迭代信道估计算法。这种时域上的ML算法的改进算法获得更为精确的信道估计值,不仅克服了基于导频信道估计算法带来的频谱浪费,同时也克服了盲信道估计算法中存在的计算复杂度问题。理论分析和仿真结果表明,该迭代算法在不明显增加运算复杂度的前提下,较为有效地提高了信道估计精度。

A new iterative ＂channel estimation algorithm was proposed based on superimposed pilot in OFDM system. Through improving joint time domain maximum-likelihood （ML） ,it was developed for more precise channel estimates. With this semi-blind channel estimation, band- width was saved by avoiding the use of training symbol, solving the problem of large computational complexity with blind channel estimation. Theoretical analyses and simulation results show that the proposed method has better performance than iterative maximum - likelihood （ML） algorithm based no adding compute complexity.