Application Level Optimization of Sierpinski Carpet Fractal Antenna Using Artificial Intelligence and High Frequency Structure Simulator

DOI: https://doie.org/10.0618/Jbse.2024682388

Rakhee Patil , Kalpana Vanjerkhede

Keywords:

Fractal, ANN, HFSS, Sierpinski-carpet, Performance parameters, Return loss, VSWR

Abstract:

Recently, intensive research have been going on in the wireless communication systems thus creating a demand for multifunctional antennas with high efficiency and flawless performance due to their application like military communications, UAV tracking systems and healthcare IoT devices. It is required to optimize the bandwidth to enhance the performance. Hence, fragment antennas are a futuristic option due to their vital characteristics, like miniaturization with broadband/multiband systems. Such miniaturization leads to the system development for more compact device facilities. The naval systems and remote military locations are highly dependent on wireless communication systems. Hence, this paper presents the design process for the Sierpinski Carpet fractal structure generation. The proposed model uses an artificial neural network and a high-frequency structure simulator (HFSS). These methods provide accurate simulations of the antenna radiation patterns, impedance characteristics, and resonant frequencies across multi-frequency bands. The results of the proposed system show the potential of combining intricate fractal geometries with computational techniques. Consequently, as per the study's outcome, it is depicted that the Artificial Neural Networks are the optimal choice for antenna design and optimization. The designed Fractal antenna resonates at different frequency there by making it suitable for C Band (5.5GHz to 6.3GHz &7.1GHz to 8GHz),WiFi(5.15GHz-5.35GHz, 5.17GHz-5.72GHz & 5.725GHz-5.875GHz),WLAN (3.65GHz,4.9- 5.0GHz,5.9GHz & 6.0GHz) applications

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