Genetic Algorithm (GA) Approach for Side Lobe Level-Reduction (SLL-R) and Enhanced Directivity in Wireless Communication
Year: 2024
Type: article
Abstract: The present investigation investigates the optimization of smart antenna systems, specifically the reduction of side lobe levels (SLL) using Genetic Algorithm (GA) techniques. The study assesses the radiation pattern performance of a ten-element antenna array with fixed 8 cm spacing and 2 amps of current. Variations in the number of elements (4, 6, and 8) are explored to determine how they affect SLL and directivity. Furthermore, the simulation analysis looks into directivity and SLL at larger currents (10, 15, and 20 amps). The analysis aim to increase understanding and performance of smart antenna technology, particularly in wireless communication applications. The result evaluated by MatlabR2024a tool.
Authors: Namdeo, Shravan Kumar, Patidar, Mukesh, Shreyaskumar Patel, Shreyaskumar, Jain, Ankit, Mandloi, Devendra S., Paranjpe, Pranav, Nagar, Sneha
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949350736