### Abstract

Model-Based Parameter Estimation (MBPE) techniques that use a rational function fitting model with complex coefficients have been shown to yield approximations which accurately describe the frequency dependence of antenna characteristics such as input impedance or admittance. In this paper we apply MPBE to the radiated electric field of a 0.5 m dipole and use the rational function fitting model to interpolate the electric field spectrum of this antenna over the interval 150 to 950 MHz. A method is presented for using these electric field interpolations in conjunction with the associated impedance interpolations in order to reconstruct gain patterns at any frequency within this model range. Conventional Pade approximations require a matrix inversion operation in order to estimate the parameters of the rational function fitting model. In this paper we introduce a Genetic Algorithm (GA) approach for obtaining the required fitting model parameters. This new approach to MBPE has the advantages that it is very general and avoids the need for any kind of matrix inversion.

Original language | English (US) |
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Pages | 964-971 |

Number of pages | 8 |

State | Published - Jan 1 1998 |

Event | Proceedings of the 1998 14th Annual Review of Progress in Applied Computational Electromagnetics. Part 1 (of 2) - Monterey, CA, USA Duration: Mar 16 1998 → Mar 20 1998 |

### Other

Other | Proceedings of the 1998 14th Annual Review of Progress in Applied Computational Electromagnetics. Part 1 (of 2) |
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City | Monterey, CA, USA |

Period | 3/16/98 → 3/20/98 |

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### All Science Journal Classification (ASJC) codes

- Electrical and Electronic Engineering

### Cite this

*Spectral domain interpolation of antenna radiation patterns using Model-Based Parameter Estimation and genetic algorithms*. 964-971. Paper presented at Proceedings of the 1998 14th Annual Review of Progress in Applied Computational Electromagnetics. Part 1 (of 2), Monterey, CA, USA, .

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**Spectral domain interpolation of antenna radiation patterns using Model-Based Parameter Estimation and genetic algorithms.** / Allard, R. J.; Werner, D. H.; Zmyslo, J. S.; Werner, P. L.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Spectral domain interpolation of antenna radiation patterns using Model-Based Parameter Estimation and genetic algorithms

AU - Allard, R. J.

AU - Werner, D. H.

AU - Zmyslo, J. S.

AU - Werner, P. L.

PY - 1998/1/1

Y1 - 1998/1/1

N2 - Model-Based Parameter Estimation (MBPE) techniques that use a rational function fitting model with complex coefficients have been shown to yield approximations which accurately describe the frequency dependence of antenna characteristics such as input impedance or admittance. In this paper we apply MPBE to the radiated electric field of a 0.5 m dipole and use the rational function fitting model to interpolate the electric field spectrum of this antenna over the interval 150 to 950 MHz. A method is presented for using these electric field interpolations in conjunction with the associated impedance interpolations in order to reconstruct gain patterns at any frequency within this model range. Conventional Pade approximations require a matrix inversion operation in order to estimate the parameters of the rational function fitting model. In this paper we introduce a Genetic Algorithm (GA) approach for obtaining the required fitting model parameters. This new approach to MBPE has the advantages that it is very general and avoids the need for any kind of matrix inversion.

AB - Model-Based Parameter Estimation (MBPE) techniques that use a rational function fitting model with complex coefficients have been shown to yield approximations which accurately describe the frequency dependence of antenna characteristics such as input impedance or admittance. In this paper we apply MPBE to the radiated electric field of a 0.5 m dipole and use the rational function fitting model to interpolate the electric field spectrum of this antenna over the interval 150 to 950 MHz. A method is presented for using these electric field interpolations in conjunction with the associated impedance interpolations in order to reconstruct gain patterns at any frequency within this model range. Conventional Pade approximations require a matrix inversion operation in order to estimate the parameters of the rational function fitting model. In this paper we introduce a Genetic Algorithm (GA) approach for obtaining the required fitting model parameters. This new approach to MBPE has the advantages that it is very general and avoids the need for any kind of matrix inversion.

UR - http://www.scopus.com/inward/record.url?scp=0031705092&partnerID=8YFLogxK

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M3 - Paper

AN - SCOPUS:0031705092

SP - 964

EP - 971

ER -