Results 41 to 50 of about 7,085,552 (171)
Efficient Detection and Coarse‐to‐Fine Parameter Estimation Method for Radar Manoeuvring Target
Electronics Letters, Volume 62, Issue 1, January/December 2026.In this letter, an efficient maueuvering target detection method is proposed, and the target's multi‐dimensional parameters are estimated with a coarse‐to‐fine strategy, which combines the Newton–Raphson‐based optimiser and sparse Bayesian learning. ABSTRACT The detection and parameter estimation of radar manoeuvring targets has attracted more and more
Wenchao Yu, Weimin Su, Hong Gu
wiley +1 more source
ETRI Journal, 2019 This paper investigates the use of the inverse‐free sparse Bayesian learning (SBL) approach for peak‐to‐average power ratio (PAPR) reduction in orthogonal frequency‐division multiplexing (OFDM)‐based multiuser massive multiple‐input multiple‐output (MIMO)
Davinder Singh, Rakesh Kumar Sarin
doaj +1 more source
An AMP-Based Low Complexity Generalized Sparse Bayesian Learning Algorithm
IEEE Access, 2019 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
Jiang Zhu, Lin Han, Xiangming Meng
doaj +1 more source
Self‐Attention Mechanism Aided Bayesian Compressed Sensing for Distributed Compressive Sensing
Electronics Letters, Volume 62, Issue 1, January/December 2026.The proposed algorithm and experimental results on the MNIST dataset. ABSTRACT This letter addresses the joint sparse recovery (JSR) problem with multiple measurement vectors (MMV) in compressive sensing (CS). Be aware of the limitations of the model‐driven methods and the advantages of the latest data‐driven approaches; the authors transform the MMV ...
Feng Shu, Linghua Zhang, Qin Cheng
wiley +1 more source
Efficient Implementation for SBL-Based Coherent Distributed mmWave Radar Imaging
Remote Sensing, 2023 In a distributed frequency-modulated continuous waveform (FMCW) radar system, the echo data collected are not continuous in the azimuth direction, so the imaging effect of the traditional range-Doppler (RD) algorithm is poor.
Fengzhou Dai +3 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper proposes a mainlobe jamming suppression method for DAR based on variational sparse Bayesian learning (SBL) jamming estimation and range‐angle two‐dimensional null broadening beamforming. To decouple the range and angle parameters in the near‐field steering vector model, a variational grid optimisation nonuniform sparse recovery dictionary is
Bowen Han +4 more
wiley +1 more source
Multisnapshot Sparse Bayesian Learning for DOA
, 2016 The directions of arrival (DOA) of plane waves are estimated from multisnapshot sensor array data using sparse Bayesian learning (SBL). The prior for the source amplitudes is assumed independent zero-mean complex Gaussian distributed with hyperparameters,
Nannuru, Santosh +4 more
core +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.SRLF‐MUSIC addresses low‐SNR, small‐snapshot MIMO radar DOA estimation by stabilising the covariance matrix supplied to MUSIC. The method uses a Toeplitz structural anchor and risk‐controlled covariance fusion to balance finite‐sample information and structural robustness.
Li Che, Lin Li , Liubing Jiang
wiley +1 more source
AI‐Driven Intelligent and Explainable SONAR for Underwater Acoustic Sensing
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This review surveys recent advances in AI‐driven enhancement and interpretation of LOFAR spectra for underwater acoustic sensing. It examines deep learning, transformer‐based models, explainable AI and emerging large language models for intelligent SONAR analysis and highlights current challenges and future research directions towards autonomous ...
Shumaila Javaid +3 more
wiley +1 more source
Off-grid DOA estimation algorithm based on unitary transform and sparse Bayesian learning
Tongxin xuebao, 2017 A rapid off-grid DOA estimating method of RV-OGSBL was raised based on unitary transformation,against the problem of traditional sparse Bayesian learning (SBL) algorithm in solving effectiveness of signal’s DOA estimation under condition of lower signal ...
Yang GAO, Jun-li CHEN, Guang-li YANG
doaj +2 more sources