Efficient time domain threshold for sparse channel estimation in OFDM system |
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Affiliation: | 1. School of Electronic and Information Engineering, South China University of Technology, Wushan Road, Tianhe District, Guangzhou 510641, PR China;2. Institut d’Electronique et Télécommunications de Rennes (IETR), UMR CNRS 6164, LUNAM Université – Université de Nantes, France;3. Sino-French Research Center in Information and Communication (SFC/RIC), Rue Christian Pauc, BP 50609, 44306 Nantes, France |
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Abstract: | A novel efficient time domain threshold based sparse channel estimation technique is proposed for orthogonal frequency division multiplexing (OFDM) systems. The proposed method aims to realize effective channel estimation without prior knowledge of channel statistics and noise standard deviation within a comparatively wide range of sparsity. Firstly, classical least squares (LS) method is used to get an initial channel impulse response (CIR) estimate. Then, an effective threshold, estimated from the noise coefficients of the initial estimated CIR, is proposed. Finally, the obtained threshold is used to select the most significant taps. Theoretical analysis and simulation results show that the proposed method achieves better performance in both BER (bit error rate) and NMSE (normalized mean square error) than the compared methods has good spectral efficiency and moderate computational complexity. |
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Keywords: | Sparse channel estimation Least squares OFDM Time domain threshold |
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