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In this paper, the authors describe a Threshold-Based Selection (TBS) approach for sparse channel estimation in an Orthogonal Frequency Division Multiplexing (OFDM) system. An optimal tap-tuned threshold is derived by minimizing the Mean Squares Error (MSE) per channel impulse response coefficient. Comparing the proposed TMSE approach to the Probabilistic Framework Estimator (PFE) and to former MSE optimization TBS algorithms using the criteria of Oliver, Kang and Rosati, shows its better performance in terms of true channel structure detection capacity and of channel response Normalized MSE (NMSE).
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