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Genetic Algorithm (GA) Approach for Side Lobe Level-Reduction (SLL-R) and Enhanced Directivity in Wireless Communication

Title: Genetic Algorithm (GA) Approach for Side Lobe Level-Reduction (SLL-R) and Enhanced Directivity in Wireless Communication
Authors: Namdeo, Shravan Kumar; Patidar, Mukesh; Shreyaskumar Patel, Shreyaskumar; Jain, Ankit; Mandloi, Devendra S.; Paranjpe, Pranav; Nagar, Sneha
Publisher Information: Zenodo
Publication Year: 2024
Collection: Zenodo
Description: 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.
Document Type: article in journal/newspaper
Language: unknown
ISSN: 2584-0495
Relation: https://zenodo.org/records/13729305; oai:zenodo.org:13729305; https://doi.org/10.5281/zenodo.13729305
DOI: 10.5281/zenodo.13729305
Availability: https://doi.org/10.5281/zenodo.13729305; https://zenodo.org/records/13729305
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.CD5F34D
Database: BASE