Efficient optimization of a simple compact resonant cavity antenna

Maria Kovaleva; David Bulger; Karu P. Esselle

doi:10.1109/APUSNCURSINRSM.2017.8072215

Efficient optimization of a simple compact resonant cavity antenna

Maria Kovaleva, David Bulger, Karu P. Esselle

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Further improvement in the performance of a compact resonant cavity antenna (RCA) with a single planar unprinted superstrate is presented. The RCA design was automated by interfacing the particle swarm optimization (PSO) algorithm with a full-wave solver via scripting. Three benchmark functions were used to assist in the selection of such crucial PSO parameters as population size and maximum number of iterations. The optimal RCA has a peak gain of 19.6 dB, overall 3-dB gain bandwidth of 55% and a small footprint.

Original language	English
Title of host publication	2017 IEEE Antennas and Propagation Society International Symposium
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	345-346
Number of pages	2
ISBN (Electronic)	9781538632840
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2017.8072215
Publication status	Published - 18 Oct 2017
Event	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, United States Duration: 9 Jul 2017 → 14 Jul 2017

Conference

Conference	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
Country/Territory	United States
City	San Diego
Period	9/07/17 → 14/07/17

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10.1109/APUSNCURSINRSM.2017.8072215

Cite this

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title = "Efficient optimization of a simple compact resonant cavity antenna",

abstract = "Further improvement in the performance of a compact resonant cavity antenna (RCA) with a single planar unprinted superstrate is presented. The RCA design was automated by interfacing the particle swarm optimization (PSO) algorithm with a full-wave solver via scripting. Three benchmark functions were used to assist in the selection of such crucial PSO parameters as population size and maximum number of iterations. The optimal RCA has a peak gain of 19.6 dB, overall 3-dB gain bandwidth of 55% and a small footprint.",

author = "Maria Kovaleva and David Bulger and Esselle, {Karu P.}",

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Kovaleva, M, Bulger, D & Esselle, KP 2017, Efficient optimization of a simple compact resonant cavity antenna. in 2017 IEEE Antennas and Propagation Society International Symposium: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 345-346, 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017, San Diego, United States, 9/07/17. https://doi.org/10.1109/APUSNCURSINRSM.2017.8072215

Efficient optimization of a simple compact resonant cavity antenna. / Kovaleva, Maria; Bulger, David ; Esselle, Karu P.
2017 IEEE Antennas and Propagation Society International Symposium: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 345-346.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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N2 - Further improvement in the performance of a compact resonant cavity antenna (RCA) with a single planar unprinted superstrate is presented. The RCA design was automated by interfacing the particle swarm optimization (PSO) algorithm with a full-wave solver via scripting. Three benchmark functions were used to assist in the selection of such crucial PSO parameters as population size and maximum number of iterations. The optimal RCA has a peak gain of 19.6 dB, overall 3-dB gain bandwidth of 55% and a small footprint.

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Efficient optimization of a simple compact resonant cavity antenna

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