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Data Driven Surrogate Modeling of Phase Array Antennas Using Deep Learning for Millimetric Band Applications

Phased Array Antenna (PAA) technology plays an important role in fields such as radar, 5G and satellite or any application which requires wide bandwidth and high gain. However, achieving such design is a difficult and complex task that requires an accurate calculation and combination of results obta...

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Principais autores: Mehmet Akif Tulum, Ahmet Serdar Turk, Peyman Mahouti
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2023-01-01
Serier:IEEE Access
Fag:
Artificial intelligence
data driven modelling
surrogate modelling
optimization
phased array antenna
Online adgang:https://ieeexplore.ieee.org/document/10285868/
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