Direction-of-Arrival Estimation for Time-Varying Arrays Using FCN-Based Deep Learning E108.B 5

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Direction-of-Arrival Estimation for Time-Varying Arrays Using FCN-Based Deep Learning

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Summary, etc.：: <p>This paper presents a novel deep learning framework designed to tackle the challenging direction-of-arrival (DOA) estimation problem for time-varyi...

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Material Type: 記事
Title: Direction-of-Arrival Estimation for Time-Varying Arrays Using FCN-Based Deep Learning
Volume: E108.B
5
Author/Editor: DAI Zheng
LI Peng
LI Zirui
LI Rui
GU Hong
Author Heading: DAI Zheng
LI Peng
LI Zirui
LI Rui
GU Hong
Publication Date: 2025-05-01
Publication Date (W3CDTF): 2025-05-01
Periodical title: IEICE Transactions on Communications
No. or year of volume/issue: E108.B 5
Volume: E108.B
Issue: 5
Pages: 593-609
ISSN (Periodical Title): 0916-8516
1745-1345
Subject Heading: time-varying arrays
DOA estimation
fully convolutional network (FCN)
deep learning
multi-label classification
sparse representation
Target Audience: 一般
DOI: 10.23919/transcom.2024EBP3103
Access Restrictions: インターネット公開
Data Provider (Database): 科学技術振興機構 : J-STAGE
http://www.jstage.jst.go.jp