Efficient time domain threshold for sparse channel estimation in OFDM system

Hui Xie (1) , Guillaume Andrieux (1) , Yide Wang (1) , Jean-François Diouris (1) , Suili Feng (2, 3)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 SUSTech - Southern University of Science and Technology
3 SFC/RIC - Sino-French Research Center in Information and Communication

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.

Mots clés: Sparse channel estimation; least squares; OFDM; time domain threshold.; time domain threshold

Domaines: Electronique

Hui Xie, Guillaume Andrieux, Yide Wang, Jean-François Diouris, Suili Feng. Efficient time domain threshold for sparse channel estimation in OFDM system. AEÜ - International Journal of Electronics and Communications / Archiv für Elektronik und Übertragungstechnik, 2014, 68 (4), pp.277-281 (online 05/10/2013). ⟨10.1016/j.aeue.2013.09.005⟩. ⟨hal-00862609⟩