Simulated Annealing Assisted Sparse Array Selection Utilizing Deep Learning

This paper proposes simulated annealing (SA) assisted deep learning (DL) based sparse array selection approach. Conventional DL-based antenna selectors are primarily data-driven techniques. As a result, the required dataset is generated by listing all possible combinations of selecting <inline-fo...

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Auteurs principaux: Steven Wandale, Koichi Ichige
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/6641cfa0fa3f4c9eb3403a62097c2617
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