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
收藏
页码：2211 / 2214
页数：4
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