Simulated Annealing Assisted Sparse Array Selection Utilizing Deep Learning

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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Bibliographic Details
Main Authors: Steven Wandale, Koichi Ichige
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Antenna selection
direction-of-arrival estimation
deep learning
simulated annealing
sparse arrays
Online Access:https://ieeexplore.ieee.org/document/9623448/

Internet

https://ieeexplore.ieee.org/document/9623448/

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