Bilel, H.; Taoufik, A. Radiation Pattern Synthesis of the Coupled Almost Periodic Antenna Arrays Using an Artificial Neural Network Model. Electronics2022, 11, 703.
Bilel, H.; Taoufik, A. Radiation Pattern Synthesis of the Coupled Almost Periodic Antenna Arrays Using an Artificial Neural Network Model. Electronics 2022, 11, 703.
Bilel, H.; Taoufik, A. Radiation Pattern Synthesis of the Coupled Almost Periodic Antenna Arrays Using an Artificial Neural Network Model. Electronics2022, 11, 703.
Bilel, H.; Taoufik, A. Radiation Pattern Synthesis of the Coupled Almost Periodic Antenna Arrays Using an Artificial Neural Network Model. Electronics 2022, 11, 703.
Abstract
This paper proposes a radiation pattern synthesis of the almost periodic antenna arrays including mutual coupling effects (that extracted by the Floquet analysis according to our previous work), which principally has a high directivity and large bandwidth. For modeling the given structures, the moment method combined with the Generalized Equivalent Circuit (MoM-GEC) is proposed. The artificial neural network (ANN) as a powerful computational model has been successfully applied to the antenna array pattern synthesis. The results showed that the multilayer feedforward neural networks are rugged and can successfully and efficiently resolve various distinctive complex almost periodic antenna patterns (with different source amplitudes) (in particular, both periodic and randomly aperiodic structures are taken into account). However, the artificial neural network (ANN) is capable of quickly producing the synthesis results using generalization with the early stopping (ES) method. A significant time gain and memory consumption are achieved by using this given method to improve the generalization (called early stopping). To justify this work, several examples are developed and discussed.
Keywords
Radiation pattern synthesis; Almost periodic structures; Mutual coupling effects; Artificial neural network ANN algorithm; Early stoping method.
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
