Optimization of Peano-Gosper fractile arrays for broadband performance using genetic algorithms to eliminate grating lobes during scanning

J. N. Bogaid, D. H. Werner, P. L. Werner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A genetic algorithm technique is introduced for the purpose of optimizing a broadband Peano-Gosper fractile array to eliminate grating lobes during scanning. It has been shown that when the element spacing of a Peano-Gosper fractile array is increased to one wavelength, no grating lobes occur in the entire visible region for broadside operation. However, when the minimum element spacing is one wavelength or greater and the main beam is scanned away from broadside, grating lobes occur in the far-filed radiation pattern of the array. It will be shown that a genetic algorithm technique can be used to perturb the element locations in an optimal way on the interior of the Peano-Gosper fractile array to eliminate the grating lobes and provide acceptable sidelobe levels during scanning. The genetically optimized stage 1 Peano-Gosper fractile array with perturbed element locations can be used to create higher order stages through an efficient iterative procedure while, at each stage, the array maintains its broadband characteristics within a specified scan volume.

Original languageEnglish (US)
Title of host publication2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest
Pages755-758
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting - Washington, DC, United States
Duration: Jul 3 2005Jul 8 2005

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume1 B
ISSN (Print)1522-3965

Other

Other2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting
CountryUnited States
CityWashington, DC
Period7/3/057/8/05

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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