An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890146
Abstract: In this paper, an approximate message passing-based generalized sparse Bayesian learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the Gr-SBL algorithm, meanwhile improving the robustness of the GAMP algorithm against the measurement… read more here.
Keywords: generalized sparse; sparse bayesian; sbl algorithm; algorithm ... See more keywords
Fast Correlated SBL Algorithm for Estimating Correlated Sparse Millimeter Wave Channels
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3257191
Abstract: Correlated sparse Bayesian learning (Corr-SBL) is a powerful framework for multi-user multiple input multiple-output millimeter wave (mmWave) channel estimation. It exploits the underlying sparsity and spatial correlation in a mmWave channel. Due to massive antennas… read more here.
Keywords: correlated sparse; algorithm; millimeter wave; sbl algorithm ... See more keywords
Centralized and Decentralized Active User Detection and Channel Estimation in mMTC
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3141401
Abstract: We consider the problem of estimating channel and detecting active users in the uplink of a massive machine type communication (mMTC) network. We propose a centralized coupled prior based sparse Bayesian learning (cCP-SBL) algorithm that… read more here.
Keywords: dcp sbl; sbl algorithm; sbl; ccp ... See more keywords