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End fire linear antenna array synthesis using differential evolution inspired Adaptive Naked Mole Rat Algorithm.

Harbinder Singh¹, Nitin Mittal², Amit Gupta³

¹Department of Electronics and Communication Engineering, UCRD, Chandigarh University, Punjab, India.

Scientific Reports

|July 29, 2023

Summary

This summary is machine-generated.

This study introduces an Adaptive Naked Mole Rat Algorithm (ANMRA) for designing linear antenna arrays (LAAs). ANMRA effectively minimizes secondary lobes and narrows beamwidth for advanced smart communication systems.

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Area of Science:

Electromagnetics and Antenna Theory
Computational Intelligence and Optimization
Wireless Communication Systems

Background:

Linear antenna arrays (LAAs) are crucial for smart systems like IoT and beamforming.
Minimizing secondary lobes while maintaining a narrow beamwidth in LAAs presents significant challenges.

Purpose of the Study:

To present an enhanced synthesis methodology for LAAs using a novel optimization algorithm.
To improve the performance of LAAs in terms of secondary lobe reduction and beamwidth optimization.

Main Methods:

Developed an Adaptive Naked Mole Rat Algorithm (ANMRA), inspired by mole-rat behavior, for LAA synthesis.
Assessed ANMRA performance using CEC 2019 benchmark functions and compared it against state-of-the-art algorithms (SSA, CS, AHOA, ChOA, NMRA).
Optimized antenna element magnitude and placement for precise control over radiation patterns.

Main Results:

ANMRA achieved superior performance, demonstrating significant secondary lobe reduction and narrow beamwidth.
The ANMRA-designed LAA achieved a Side Lobe Level (SLL) of -37.08 dB and a beamwidth of 74.68°.
Statistical assessments confirmed ANMRA's effectiveness in optimizing LAA parameters.

Conclusions:

ANMRA offers an effective approach for LAA synthesis, outperforming existing methods.
The methodology enables precise primary lobe placement, grating lobe elimination, and high directivity.
This research advances smart communication technologies, particularly for IoT and beamforming applications.