A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

被引：1

作者：

Sheng, Bin ^{[1
]}

Zhu, Pengcheng ^{[1
]}

You, Xiaohu ^{[1
]}

Chen, Lan ^{[2
]}

机构：

[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[2] DoCoMo Beijing Commun Labs Co Ltd, Beijing 100080, Peoples R China

来源：

IEICE TRANSACTIONS ON COMMUNICATIONS | 2010年 / E93B卷 / 08期

关键词：

channel estimation; OFDM; sorted noise space; sparse multipath channels; FADING CHANNELS;

D O I：

10.1587/transcom.E93.B.2211

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we propose a low-complexity sparse channel estimation method for orthogonal frequency division multiplexing (OFDM) systems. The proposed method uses a discrete Fourier transform (DFT)-based technique for channel estimation and a novel sorted noise space discrimination technique to estimate the channel length and tap positions. Simulation results demonstrate that the reduction in signal space improves the channel estimation performance.

引用

页码：2211 / 2214

页数：4

共 8 条

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