GRU-Based Beam Pattern Synthesis for Optimized Uniform Linear Antenna Arrays

This study presents a deep learning-based framework for beam pattern synthesis in optimized uniform linear antenna arrays, combining Differential Evolution–based pre-optimization with recurrent neural network (RNN) modeling. Radiation patterns are first generated to satisfy sidelobe suppression and...

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מידע ביבליוגרפי

Principais autores:	Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Mohammad Reza Rahmati, Abel García-Barrientos
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-04-01
סדרה:	Informatics
נושאים:	beam pattern synthesis uniform linear arrays gated recurrent unit (GRU) differential evolution recurrent neural networks (RNN) beam steering
גישה מקוונת:	https://www.mdpi.com/2227-9709/13/4/60
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