Results 21 to 30 of about 7,085,552 (171)
General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery [PDF]
, 2021 Block-sparse signal recovery without knowledge of block sizes and boundaries, such as those encountered in multi-antenna mmWave channel models, is a hard problem for compressed sensing (CS) algorithms.
Aditya Sant +5 more
core +1 more source
Sensors, 2018 Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband direction of arrival (DOA) estimation. Using the augmented covariance matrix, the coprime array can achieve a higher number of degrees of freedom (DOFs) to ...
Yanhua Qin +3 more
doaj +1 more source
DOA M-Estimation using Sparse Bayesian Learning
, 2022 Recent investigations indicate that Sparse Bayesian Learning (SBL) is lacking in robustness. We derive a robust and sparse Direction of Arrival (DOA) estimation framework based on the assumption that the array data has a centered (zero-mean) complex ...
Mecklenbräuker, Christoph +2 more
core +4 more sources
Direction-of-arrival method based on randomize-then-optimize approach
Journal of Electronic Science and Technology, 2022 The direction-of-arrival (DOA) estimation problem can be solved by the methods based on sparse Bayesian learning (SBL). To assure the accuracy, SBL needs massive amounts of snapshots which may lead to a huge computational workload. In order to reduce the
Cai-Yi Tang +3 more
doaj +1 more source
Direction of Arrival Estimation via Joint Sparse Bayesian Learning for Bi-Static Passive Radar
IEEE Access, 2019 Direction-of-arrival (DOA) estimation using sparsity-inducing techniques has attracted much interest recently. In this paper, the DOA estimation for the bi-static passive radar is investigated.
Xinyu Zhang +3 more
doaj +1 more source
, 2021 Sparse, group-sparse and online channel estimation is conceived for millimeter wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems.
Patro, Ch Suraj Kumar +7 more
core +1 more source
Fast Sparse Bayesian Learning-Based Channel Estimation for Underwater Acoustic OFDM Systems
Applied Sciences, 2022 Harsh underwater channels and energy constraints are the two critical issues of underwater acoustic (UWA) communications. To achieve a high channel estimation performance under a severe underwater channel, sparse Bayesian learning (SBL)-based channel ...
Yong-Ho Cho
doaj +1 more source
Robust Sparse Bayesian Learning for DOA
, 2023 We formulate statistically robust Sparse Bayesian Learning (SBL) for Direction of Arrival (DOA) estimation from Complex Elliptically Symmetric (CES) data using a general approach based on loss functions. Simulation results for DOA estimation are obtained
Mecklenbräuker, Christoph F.; orcid: +3 more
core +1 more source
Complexity-Optimized Sparse Bayesian Learning for Scalable Classification Tasks [PDF]
, 2023 Sparse Bayesian Learning (SBL) constructs an extremely sparse probabilistic model with very competitive generalization. However, SBL needs to invert a big covariance matrix with complexity $O(M^3)$ (M: feature size) for updating the regularization priors,
Vong, Chi-Man +2 more
core
Off-grid DOA estimation using improved root sparse Bayesian learning for non-uniform linear arrays
EURASIP Journal on Advances in Signal Processing, 2023 This paper concerns direction of arrival (DOA) estimation based on a sparse Bayesian learning (SBL) approach. We address two inherent problems of this class of DOA estimation methods: (i) a predefined dictionary can generate off-grid problems to a SBL ...
Jiajun Shen +3 more
doaj +1 more source