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Related Experiment Video

Updated: May 14, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Applications of Nature-Inspired Water Cycle Algorithm in Antenna Design and Array Synthesis.

Yixi Wei1, Yanhong Xu1, Weiwei Wang2

  • 1School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.

Sensors (Basel, Switzerland)
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

The Water Cycle Algorithm (WCA) effectively optimizes electromagnetic problems like wideband antenna design and array pattern synthesis. WCA outperforms other algorithms, demonstrating its value in radar and communication technologies.

Keywords:
array pattern synthesis in scenario of strong mutual couplingelectromagnetic (EM) problemnature-inspired algorithmwideband antenna design within a given space

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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

Related Experiment Videos

Last Updated: May 14, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
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Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface
06:14

Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

Published on: July 30, 2020

Area of Science:

  • Electromagnetic (EM) technology
  • Antenna design
  • Array pattern synthesis

Background:

  • Advanced optimization algorithms are crucial for developing radar and communication systems.
  • Wideband antenna design and array pattern synthesis, especially with strong mutual coupling, present significant electromagnetic challenges.

Purpose of the Study:

  • To introduce the Water Cycle Algorithm (WCA) for solving complex electromagnetic problems.
  • To design wideband antennas and synthesize array patterns using WCA.

Main Methods:

  • The Water Cycle Algorithm (WCA) was applied to design a dual-band E-shaped microstrip antenna and a magnetoelectric (ME) dipole antenna.
  • WCA was utilized for low peak sidelobe level (PSLL) pattern synthesis in a 27-element folded fractal ME dipole array antenna, considering mutual coupling up to -10 dB.

Main Results:

  • WCA achieved superior results in wideband antenna design compared to differential evolution (DE) and gray wolf optimizer (GWO) algorithms.
  • The WCA-based array pattern synthesis successfully achieved a low PSLL, validating its effectiveness even with strong mutual coupling.

Conclusions:

  • The Water Cycle Algorithm (WCA) is a powerful and effective tool for advanced electromagnetic applications.
  • WCA demonstrates significant advantages in both antenna design and array pattern synthesis, offering innovation in EM technology.