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METHOD AND APPARATUS FOR ESTIMATING CHANNEL BASED ON IMPLICIT TRAINING SEQUENCES

机译:基于隐式训练序列的信道估计方法和装置

摘要

The present invention provides a channel estimation method and apparatus based on implicit training sequences for use in wireless communication systems, characterized in that stationary training sequences are superimposed with information sequences for transmission at the transmitting side and channel estimation is performed at the receiving side by using the uncorrelated characteristic between the training sequences and the information sequences, that is, channel estimation is done based on the principle that the estimation result of channel parameter converges to a Wiener solution under the condition that the training sequences and information sequences in the transmission signals are uncorrelated. The method of the invention comprises steps of: obtaining a set of training sequences comprising a plurality of subsets of training sequences, each of the plurality of subsets is generated based on a known initial training sequence and a predetermined channel order; calculating the cross-correlation matrix for the subsets of training sequences and the corresponding inverse matrix; calculating the cross-correlation matrix for the set of training sequences and the received signals; and estimating channel parameters based on the inverse cross-correlation matrix for the subsets of training sequences and the cross-correlation matrix for the set of training sequences and the received signals.
机译:本发明提供了一种基于隐式训练序列的信道估计方法和装置,用于无线通信系统,其特征在于,静态训练序列与信息序列相叠加以在发送侧进行传输,并且在接收侧通过使用信道估计来进行信道估计。训练序列与信息序列之间的不相关特性,即信道估计是基于以下原理进行的:在传输信号中的训练序列与信息序列为条件下,信道参数的估计结果收敛于维纳解。不相关的。本发明的方法包括以下步骤:获得包括训练序列的多个子集的训练序列的集合,所述多个子集的每个基于已知的初始训练序列和预定的信道顺序生成;以及计算训练序列子集的互相关矩阵和对应的逆矩阵;计算训练序列集和接收信号的互相关矩阵;根据训练序列子集的逆互相关矩阵和训练序列集和接收信号的互相关矩阵,估计信道参数。

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