Channel Estimation for OFDM Systems Based on RLS and Superimposed Training Sequences

被引：1

作者：

Zhan, Jinjing ^{[1
]}

Wang, Jun ^{[1
]}

Liu, Shouyin ^{[1
]}

Chong, Jong-Wha ^{[2
]}

机构：

[1] Huazhong Normal Univ, Elect & Informat Engn Dept, Wuhan 430079, Peoples R China

[2] Hanyang Univ, Coll Informat & Commun, Seoul 133791, South Korea

来源：

2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年

关键词：

OFDM; superimposed training sequence; RLS; channel estimation;

D O I：

10.1109/WICOM.2007.16

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The recursive least squares (RLS) algorithm and the superimposed training sequences are applied to the orthogonal frequency division multiplexing (OFDM) systems to estimate channel state information (CSI). In order to reduce the interference caused by the unknown information data that is added with the superimposed training sequences, we present the following method: first, the information data are detected using the CSI of the previous one block, and then subtracted them from the current received signals. Second, the remainder signals mainly including the training sequence are used to estimate CSI. For decreasing the computation complexity, we use the same training sequence in all OFDM blocks. The computation complexity and the mean square error (MSE) performance of our proposed RLS method are compared with the original RLS method.

引用

页码：37 / +

页数：2

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