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Pattern synthesis of linear array antennas based on Chaos Triangular Pelican Optimization Algorithm.

Anyong Liu1, Yan Liu2, Zhuo Chen1

  • 1School of Physics and Electronic Information, Yunnan Normal University, Kunming, Yunnan Province, China.

Scientific Reports
|April 8, 2025
PubMed
Summary

A new Chaos Triangular Pelican Optimization Algorithm (CTPOA) enhances wireless communication systems by optimizing array antennas for high gain and low sidelobes. This intelligent algorithm shows excellent performance in both general optimization and specific linear array antenna applications.

Keywords:
Array antennaCTPOACurrent amplitudePOAPattern synthesisPeak SLL

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Optimization Algorithms

Background:

  • Array antennas are crucial for wireless systems, requiring high gain and low sidelobe performance for enhanced signal processing and anti-interference.
  • Intelligent optimization algorithms are key to achieving desired array antenna performance.

Purpose of the Study:

  • To introduce a novel optimization algorithm, the Chaos Triangular Pelican Optimization Algorithm (CTPOA).
  • To evaluate CTPOA's effectiveness on benchmark test functions and its application in linear array antenna pattern synthesis.

Main Methods:

  • CTPOA integrates Logistic chaotic mapping initialization and a triangle walk strategy into the original Pelican Optimization Algorithm (POA).
  • The algorithm's performance was tested on eight benchmark functions and four linear array antenna designs.

Main Results:

  • CTPOA demonstrated superior convergence and optimization capabilities on the tested functions.
  • Simulations confirmed CTPOA's excellent performance in optimizing linear array antenna patterns.

Conclusions:

  • The proposed CTPOA is a highly effective optimization algorithm.
  • CTPOA shows significant potential for applications in array antenna design and other optimization fields.