A Physically Preprocessed CNN-Based Mutual Coupling Model for MIMO Antennas

This paper presents a CNN network incorporates antenna correlation information through physical preprocessing to address the channel capacity estimation problem for strongly coupled antenna arrays. The proposed method not only satisfies millisecond response requirements but also surpasses traditional analytical solutions and direct modelling networks in terms of prediction accuracy and dataset construction cost.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/aces-china62474.2024.10699852
Primary Topic
Antenna Design and Analysis
Type
article
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article

A Physically Preprocessed CNN-Based Mutual Coupling Model for MIMO Antennas

Wei E. I. Sha, Yutong Jiang
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Antenna Design and Analysis
article

A Physically Preprocessed CNN-Based Mutual Coupling Model for MIMO Antennas

Wei E. I. Sha, Yutong Jiang
article en

Abstract

This paper presents a CNN network incorporates antenna correlation information through physical preprocessing to address the channel capacity estimation problem for strongly coupled antenna arrays. The proposed method not only satisfies millisecond response requirements but also surpasses traditional analytical solutions and direct modelling networks in terms of prediction accuracy and dataset construction cost.

Zhejiang University (CN)
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Openalex Percentile: Top 74%
Antenna Design and Analysis
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A Physically Preprocessed CNN-Based Mutual Coupling Model for MIMO Antennas — Wei E. I. Sha, Yutong Jiang · (2024) | TGRS Research Map | TGRS