.png){kind=icon}
返回
Multisnapshot Sparse Bayesian Learning for DOA
.png){kind=icon}
OA
AI
DOI：10.1109/LSP.2016.2598550.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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, the unknown variances (i.e., the source powers). For a complex Gaussian likelihood with hyperparameter, the unknown noise variance, the corresponding Gaussian posterior distribution is derived. The hyperparameters are automatically selected by maximizing the evidence and promoting sparse DOA estimates. The SBL scheme for DOA estimation is discussed and evaluated competitively against LASSO (l(1)-regularization), conventional beamforming, and MUSIC.
Keyword:
Array processing
compressive beamforming
directions of arrival (DOA) estimation
relevance vector machine
sparse reconstruction
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
A predictive modelling tool for assessing climate, land use and hydrological change on reservoir physicochemical and biological properties.png)
Area
OAAI
AreaIF0
OAAI分享收藏Multiple-measurement vector based implementation for single-measurement vector sparse Bayesian learning with reduced complexitySIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Novaolindia dubia gen. et sp. nov., an enigmatic seed plant from the Early Cretaceous of northern GondwanaNovaolindia dubia gen. et sp. nov.，一种来自冈瓦纳北部早白垩世的神秘种子植物
PREAI
分享收藏Anchoring of a Copper(II)–Schiff Base Complex onto Silica-Coated Ferrite Nanoparticles: A Magnetically Separable Catalyst for Oxidative C–O Coupling by Direct C(sp2)–H and C(sp3)–H Bond ActivationSynlett
SynlettIF0
PREAI
分享收藏
查看更多内容