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

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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.

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Keywords

Smart antenna system (SAS), Side lobe level reduction (SLL-R), Genetic algorithm (GA), Directivity, Radiation pattern, Wireless technology