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: | , |
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Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
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Accès en ligne: | https://doaj.org/article/6641cfa0fa3f4c9eb3403a62097c2617 |
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