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新的基于训练序列的MIMO-OFDM时域信道估计方法
引用本文:李冬秀,舒 勤.新的基于训练序列的MIMO-OFDM时域信道估计方法[J].计算机应用研究,2012,29(6):2271-2273.
作者姓名:李冬秀  舒 勤
作者单位:四川大学 电气信息学院,成都,610065
摘    要:为了实现多输入多输出—正交频分复用系统的相干检测,提出一种新的基于训练序列的信道估计方法。将使用的训练序列在时间上呈现正交性,同时利用训练序列本身良好的相关特性简便、精确估计出信道的冲激响应。通过理论分析和计算机仿真证明,新的算法对比最佳训练序列的LS(最小二乘法)时域估计方法,在具有同样估计精度的同时,避免了复杂的矩阵求逆运算,使计算复杂度进一步降低。

关 键 词:多输入多输出—正交频分复用  信道估计  训练序列  最小二乘法

New channel estimation algorithm in time-domain for MIMO-OFDM system based on training sequences
LI Dong-xiu,SHU Qin.New channel estimation algorithm in time-domain for MIMO-OFDM system based on training sequences[J].Application Research of Computers,2012,29(6):2271-2273.
Authors:LI Dong-xiu  SHU Qin
Affiliation:School of Electrical Engineering & Information, Sichuan University, Chengdu 610065, China
Abstract:In order to achieve MIMO-OFDM (multiple-input multiple-output orthogonal frequency-division multiplexing) system's coherent detection, this paper proposed a new channel in time-domain estimation algorithm for MIMO-OFDM system. It gave estimation criteria and training patterns in great detail. The new channel estimation algorithm made the training sequence be orthogonal in time, and due to the correlation of the proposed training patterns, the channel estimation could be acquired conveniently and accurately. Through theoretical analysis and computer simulation, the proposed algorithm's performance is as good as the LS algorithm based on optimal training sequences in time-domain. At the same time the algorithm does not require matrix inversion, and only need a certain number of correlation calculations, so the computation burden is low.
Keywords:multiple-input multiple-output orthogonal frequency-division multiplexing(MIMO-OFDM)  channel estimation  training pattern  least squares(LS)
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