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A Low-Complexity Sparse Channel Estimation Method for OFDM Systems
Bin SHENG Pengcheng ZHU Xiaohu YOU Lan CHEN
IEICE TRANSACTIONS on Communications
Publication Date: 2010/08/01
Online ISSN: 1745-1345
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.