Sparse Multi-Path Channel Estimation for OFDM Systems

Sparse multi-path is encountered in OFDM and Ultra-wideBand (UWB) communications. Conventional channel estimation methods ignore the prior knowledge of the sparseness, and estimates have higher MSE. We introduced two approaches: Lp norm constraint method and LASSO method which are related to Bayesian model. The two approaches exploit the sparse a priori and obtain better performance.