Improved Channel Estimation Based on Sorted GAIC for OFDM Systems in Sparse Multipath Channels

Bin SHENG  Pengcheng ZHU  Xiaohu YOU  Lan CHEN  

Publication
IEICE TRANSACTIONS on Communications   Vol.E93-B   No.1   pp.192-194
Publication Date: 2010/01/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E93.B.192
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
Keyword: 
channel estimation,  GAIC,  OFDM,  sparse multipath channels,  

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Summary: 
In this letter, we propose a novel 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 sorted generalized Akaike information criterion (GAIC) to estimate the channel length and tap positions. Simulation results demonstrate that an improved channel estimation performance is obtained due to the reduction of signal space.