Evaluation of a Deep Learning-based Orthogonal Frequency Division Multiplexing (OFDM) Scheme for Undersea RF Communication

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Evaluation of a Deep Learning-based Orthogonal Frequency Division Multiplexing (OFDM) Scheme for Undersea RF Communication

Undersea RF communication suffers from poor signal-to-noise ratio due to high signal attenuation, and various noises from the propagation channel and devices operating undersea. This paper presents a deep learning (DL)-based orthogonal frequency division multiplexing (OFDM) scheme in an undersea RF...

書誌詳細
出版年:	2024 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2024
第一著者:	2-s2.0-85219752966
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219752966&doi=10.1109%2fAPACE62360.2024.10877407&partnerID=40&md5=1a3a48398794bbc7e785e9f76910d6ca

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