A Low-Complexity Sparse Channel Estimation Method for OFDM Systems

Bin SHENG  Pengcheng ZHU  Xiaohu YOU  Lan CHEN  

IEICE TRANSACTIONS on Communications   Vol.E93-B   No.8   pp.2211-2214
Publication Date: 2010/08/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E93.B.2211
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
channel estimation,  OFDM,  sorted noise space,  sparse multipath channels,  

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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.