A deep learning-based approach for radiation pattern synthesis of an array antenna
In this article, we propose a deep neural network (DNN) for the radiation pattern synthesis of
an antenna. The DNN utilizes the radiation patterns as inputs and the amplitude and phase …
an antenna. The DNN utilizes the radiation patterns as inputs and the amplitude and phase …
Predicting power density of array antenna in mmwave applications with deep learning
J Bang, JH Kim - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we present a method for obtaining the power density value, which is the
standard for radio frequency (RF) electromagnetic field (EMF) human exposure from …
standard for radio frequency (RF) electromagnetic field (EMF) human exposure from …
[PDF][PDF] Application of Machine Learning Techniques in Phased Array Antenna Synthesis: A Comprehensive Mini Review.
MR Ghaderi, N Amiri - J. Commun., 2023 - jocm.us
With the rapid development of modern communication systems, phased array antennas
(PAAs) are widely used in many applications such as radars and 5G networks. In a PAA …
(PAAs) are widely used in many applications such as radars and 5G networks. In a PAA …
Solving 2D Poisson's equation based on conditional generative adversarial network
K Peng, F Xu - International Journal of Numerical Modelling …, 2022 - Wiley Online Library
The numerical simulation of electromagnetic problems is usually complex and time‐
consuming, so a fast and accurate solver is urgently needed. In this paper, a deep learning …
consuming, so a fast and accurate solver is urgently needed. In this paper, a deep learning …
[PDF][PDF] AESA Antennas using Machine Learning with Reduced Dataset
Z Alam, AR MASOOD, MA ABDULLAH… - …, 2024 - radioeng.cz
This paper proposes a deep neural network (DNN)-based approach for radiation pattern
synthesis of 8 elements phased array antenna. For this purpose, 181 points of a desired …
synthesis of 8 elements phased array antenna. For this purpose, 181 points of a desired …
Optimization of Antenna Performance based on VAE-BPNN-PCA
K Peng, F Xu - … Conference on Microwave and Millimeter Wave …, 2022 - ieeexplore.ieee.org
In this paper, a machine learning method combining variational auto-encoder (VAE) and
back propagation network (BPNN) is proposed to predict the performance of a double-T …
back propagation network (BPNN) is proposed to predict the performance of a double-T …
Fault Detection of Piezoelectric Array Element Using Acoustic Field and Particle Swarm Optimization
MSZ Dehabadi, M Jahed - 2022 29th National and 7th …, 2022 - ieeexplore.ieee.org
Medical ultrasonic array transducers are prone to various defects due to hardware
malfunction, mechanical damages, aging, and fatigue issues. Faulty elements result in …
malfunction, mechanical damages, aging, and fatigue issues. Faulty elements result in …