Seven-element ground skirt monopole ESPAR antenna design from a genetic algorithm and the finite element method

The design of an optimized electronically steerable passive array radiator (ESPAR) antenna is presented. A genetic algorithm using a finite element based cost function optimized the antenna's structure and loading conditions for maximal main lobe gain in a single azimuth direction. Simulated ga...

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Published inIEEE transactions on antennas and propagation Vol. 51; no. 11; pp. 3033 - 3039
Main Authors Schlub, R., Junwei Lu, Ohira, T.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2003
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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ISSN0018-926X
1558-2221
1558-2221
DOI10.1109/TAP.2003.818790

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Abstract The design of an optimized electronically steerable passive array radiator (ESPAR) antenna is presented. A genetic algorithm using a finite element based cost function optimized the antenna's structure and loading conditions for maximal main lobe gain in a single azimuth direction. Simulated gain results of 7.3 dBi at 2.4 GHz were attained along the antenna's elemental axis. The optimized antenna was fabricated and tested with the corresponding experimental gain better than 8 dBi. The 0.7 dB error between simulated and measured gain was constant for numerous structures and therefore did not affect the optimization. The optimized antenna reduced average main lobe elevation by 15.3/spl deg/ to just 9.7/spl deg/ above the horizontal.
AbstractList The design of an optimized electronically steerable passive array radiator (ESPAR) antenna is presented. A genetic algorithm using a finite element based cost function optimized the antenna's structure and loading conditions for maximal main lobe gain in a single azimuth direction. Simulated gain results of 7.3 dBi at 2.4 GHz were attained along the antenna's elemental axis. The optimized antenna was fabricated and tested with the corresponding experimental gain better than 8 dBi. The 0.7 dB error between simulated and measured gain was constant for numerous structures and therefore did not affect the optimization. The optimized antenna reduced average main lobe elevation by 15.3 degree to just 9.7 degree above the horizontal.
The design of an optimized electronically steerable passive array radiator (ESPAR) antenna is presented. A genetic algorithm using a finite element based cost function optimized the antenna's structure and loading conditions for maximal main lobe gain in a single azimuth direction. Simulated gain results of 7.3 dBi at 2.4 GHz were attained along the antenna's elemental axis. The optimized antenna was fabricated and tested with the corresponding experimental gain better than 8 dBi. The 0.7 dB error between simulated and measured gain was constant for numerous structures and therefore did not affect the optimization. The optimized antenna reduced average main lobe elevation by 15.3/spl deg/ to just 9.7/spl deg/ above the horizontal.
The design of an optimized electronically steerable passive array radiator (ESPAR) antenna is presented. A genetic algorithm using a finite element based cost function optimized the antenna's structure and loading conditions for maximal main lobe gain in a single azimuth direction. Simulated gain results of 7.3 dBi at 2.4 GHz were attained along the antenna's elemental axis. The optimized antenna was fabricated and tested with the corresponding experimental gain better than 8 dBi. The 0.7 dB error between simulated and measured gain was constant for numerous structures and therefore did not affect the optimization. The optimized antenna reduced average main lobe elevation by 15.3 deg to just 9.7 deg above the horizontal.
Author Junwei Lu
Schlub, R.
Ohira, T.
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StartPage 3033
SubjectTerms Algorithm design and analysis
Antenna arrays
Antennas
Arrays
Brain modeling
Computer simulation
Cost function
Design methodology
Design optimization
Directive antennas
Finite element method
Finite element methods
Gain
Genetic algorithms
Loaded antennas
Lobes
Mathematical analysis
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Title Seven-element ground skirt monopole ESPAR antenna design from a genetic algorithm and the finite element method
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