A Wire Antenna Designed for Space Wave Radiation Over the Earth Using a Genetic Algorithm

Abstract

A wire antenna is designed for optimal performance at low elevation angles in the presence of a lossy half-space. A simple genetic algorithm (GA) and GENOCOP III software are each integrated with Numerical Electromagnetics Code Version 4.1 (NEC4.1) to optimize a wire antenna geometry for multiple objectives: power gain, azimuthal symmetry, and input impedance. The performance of the two versions of the integrated GA are compared. Several of the resulting antennas are analyzed, and an antenna is proposed for use in a Remote Intrusion Monitoring System (RIMS). Simulations suggest that the proposed antenna, which is well-matched, offers a significant increase in power gain at low elevation angles compared to the quarter-wavelength monopole. The performance of the proposed antenna surpasses that of the monopole at the necessary frequencies and a wide range of soil types. Also, the new antenna performance is not degraded by structure geometry perturbations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA336349

Entities

People

  • Brian S. Sandlin

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Antennas
  • Cartesian Coordinates
  • Computational Science
  • Computations
  • Computer Programming
  • Computers
  • Coordinate Systems
  • Dielectric Permittivity
  • Electrical Engineering
  • Engineering
  • Frequency
  • Genetic Algorithms
  • Geometry
  • Low Elevation
  • Mobile Phones
  • Monopole Antennas

Fields of Study

  • Engineering
  • Physics

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology
  • Space