Source localization using electric and magnetic point dipoles with modified genetic algorithm

Päivi Koivisto (Corresponding Author), Johan Sten

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

A method to reconstruct the source current from far‐field data in terms of electric and magnetic point dipoles is described. The inverse problem of solving the source from a known electromagnetic far‐field pattern is carried out by a combination of genetic algorithm and local optimizers. The source is modelled by a small number of point dipoles, the locations, amplitudes and types of which are determined by minimizing the difference between the field of the ensemble and the targeted pattern. Uniqueness is ensured by limiting the number of dipoles together with an appropriately weighted minimum energy condition. A general description of the method applicable to antenna analysis and synthesis is given and three examples of its practical use are presented.
Original languageEnglish
Pages (from-to)335-350
JournalInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Volume22
Issue number4
DOIs
Publication statusPublished - 2009
MoE publication typeA1 Journal article-refereed

Fingerprint

Source Localization
Inverse problems
Dipole
Genetic algorithms
Genetic Algorithm
Antennas
Far-field Pattern
Far Field
Antenna
Inverse Problem
Ensemble
Uniqueness
Limiting
Synthesis
Energy

Keywords

  • Inverse problems
  • spherical wave expansion
  • genetic algorithm

Cite this

@article{526bda5d8b934b12a08a0466f954e553,
title = "Source localization using electric and magnetic point dipoles with modified genetic algorithm",
abstract = "A method to reconstruct the source current from far‐field data in terms of electric and magnetic point dipoles is described. The inverse problem of solving the source from a known electromagnetic far‐field pattern is carried out by a combination of genetic algorithm and local optimizers. The source is modelled by a small number of point dipoles, the locations, amplitudes and types of which are determined by minimizing the difference between the field of the ensemble and the targeted pattern. Uniqueness is ensured by limiting the number of dipoles together with an appropriately weighted minimum energy condition. A general description of the method applicable to antenna analysis and synthesis is given and three examples of its practical use are presented.",
keywords = "Inverse problems, spherical wave expansion, genetic algorithm",
author = "P{\"a}ivi Koivisto and Johan Sten",
year = "2009",
doi = "10.1002/jnm.705",
language = "English",
volume = "22",
pages = "335--350",
journal = "International Journal of Numerical Modelling: Electronic Networks, Devices and Fields",
issn = "0894-3370",
publisher = "Wiley",
number = "4",

}

Source localization using electric and magnetic point dipoles with modified genetic algorithm. / Koivisto, Päivi (Corresponding Author); Sten, Johan.

In: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol. 22, No. 4, 2009, p. 335-350.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Source localization using electric and magnetic point dipoles with modified genetic algorithm

AU - Koivisto, Päivi

AU - Sten, Johan

PY - 2009

Y1 - 2009

N2 - A method to reconstruct the source current from far‐field data in terms of electric and magnetic point dipoles is described. The inverse problem of solving the source from a known electromagnetic far‐field pattern is carried out by a combination of genetic algorithm and local optimizers. The source is modelled by a small number of point dipoles, the locations, amplitudes and types of which are determined by minimizing the difference between the field of the ensemble and the targeted pattern. Uniqueness is ensured by limiting the number of dipoles together with an appropriately weighted minimum energy condition. A general description of the method applicable to antenna analysis and synthesis is given and three examples of its practical use are presented.

AB - A method to reconstruct the source current from far‐field data in terms of electric and magnetic point dipoles is described. The inverse problem of solving the source from a known electromagnetic far‐field pattern is carried out by a combination of genetic algorithm and local optimizers. The source is modelled by a small number of point dipoles, the locations, amplitudes and types of which are determined by minimizing the difference between the field of the ensemble and the targeted pattern. Uniqueness is ensured by limiting the number of dipoles together with an appropriately weighted minimum energy condition. A general description of the method applicable to antenna analysis and synthesis is given and three examples of its practical use are presented.

KW - Inverse problems

KW - spherical wave expansion

KW - genetic algorithm

U2 - 10.1002/jnm.705

DO - 10.1002/jnm.705

M3 - Article

VL - 22

SP - 335

EP - 350

JO - International Journal of Numerical Modelling: Electronic Networks, Devices and Fields

JF - International Journal of Numerical Modelling: Electronic Networks, Devices and Fields

SN - 0894-3370

IS - 4

ER -