Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation

Niels Lovmand Pedersen, Carles Navarro Manchón, Dmitriy Shutin +1

Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of the log-likelihood func…