74 citations · 152 across the 10 of their papers we have counts for
4 papers · 1 filter
A Fast Iterative Bayesian Inference Algorithm for Sparse Channel Estimation
Niels Lovmand Pedersen, Carles Navarro Manchón Bernard Henri Fleury
In this paper, we present a Bayesian channel estimation algorithm for multicarrier receivers based on pilot symbol observations. The inherent sparse nature of wireless multipath ch…
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…
Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
Carles Navarro Manchón, Gunvor E. Kirkelund, Erwin Riegler +2
Iterative information processing, either based on heuristics or analytical frameworks, has been shown to be a very powerful tool for the design of efficient, yet feasible, wireless…
Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
Niels Lovmand Pedersen, Carles Navarro Manchón, Mihai-Alin Badiu +2
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty functions for the regress…