… channel estimation based on sparse Bayesian learning methods, where sparse channel …
channel estimation accuracy and achievable rates in the presence of pilot contamination. …

… channel estimation … channel estimation techniques using far fewer pilots compared to the
conventional methods [3], [4], by exploiting the approximate sparsity of the wireless channel. …

… is the length of the channel) that leverage this approximate … channel estimation in a Sparse
Bayesian Learning (SBL) ( [14], [15]) framework. In [1], we had proposed SBL-based channel …

… In sparse channel estimation problems, the second order statistics of the channel are also
assumed to be unknown. Thus, employing a Bayesian perspective, the channel estimation …

… ) channel estimation in the presence of impulsive noise. In the literature, a sparse Bayesian
learning (SBL) approach for outlier-resistant direction-of-arrival (DOA) estimation can be …

… iteratively estimated via the EM strategy. In this section, we address the sparse channel
estimation … The SBL method mainly exploits the sparsity of the channel vector h, and has better …

… ) estimate. In this paper, we present Bayesian and non-Bayesian sparse channel estimation
… The Bayesian approach is a novel application of the fast SBL algorithm [11] for mmWave-…

… Bayesian learning framework in UWA OFDM communication systems. Firstly we propose the
SBL based channel estimator … the SBL algorithm in UWA channel estimation problem. Then …

… EM)-based sparse Bayesian learning (SBL) channel estimation approach. Subsequently, an
… significantly improve the accuracy of channel estimation. The Bayesian Cramér-Rao bound (…

… the precoding/detection matrices from the estimated channel … In this paper, we propose
Bayesian learning techniques in … In sparse Bayesian learning (SBL), a hierarchical prior …