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A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
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Sidelobes and sideband minimization in time-modulated array antenna based on chaotic exchange nonlinear dandelion

JianHui Li1, Yan Liu2, WanRu Zhao1

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

Scientific Reports
|August 19, 2024
PubMed
Summary

This study introduces time-modulated linear arrays (TMLA) optimized using the chaotic exchange nonlinear dandelion optimization (CENDO) algorithm. The CENDO algorithm effectively reduces sidelobe levels (SLL) and sideband levels (SBL) in antenna radiation patterns.

Keywords:
CENDO algorithmPattern synthesisSBLSLLTime-modulated array

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Area of Science:

  • Electromagnetics and antenna theory
  • Signal processing and optimization algorithms

Background:

  • Conventional array antennas lack dynamic control over radiation characteristics.
  • Introducing time as a fourth dimension offers enhanced control for antenna design.

Purpose of the Study:

  • To design a time-modulated linear array (TMLA) with low sidelobe level (SLL) and low sideband level (SBL).
  • To simultaneously reduce SLL and suppress harmonic interference in antenna radiation.
  • To evaluate the efficacy of the chaotic exchange nonlinear dandelion optimization (CENDO) algorithm for antenna optimization.

Main Methods:

  • Optimization of array element on-time (τnn) and uniform spacing (d).
  • Optimization of element opening (ton) and closing (toff) times, along with spacing (d).
  • Utilizing the CENDO algorithm for parameter optimization and comparing results with existing literature.

Main Results:

  • The CENDO algorithm achieved lower SLL and SBL compared to other methods in various TMLA models.
  • Demonstrated superior performance of CENDO in optimizing time-modulated array antennas.
  • Validated the effectiveness of incorporating time modulation for improved antenna radiation patterns.

Conclusions:

  • The CENDO algorithm offers a superior approach for optimizing time-modulated array antennas.
  • This research provides a scientific basis for designing high-performance TMAs.
  • The findings support advanced engineering applications requiring precise antenna radiation control.