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Synthesis of Large Endfire Antenna Arrays using Convex Optimization

Helander, Jakob LU ; Tayli, Doruk LU and Sjoberg, Daniel LU (2017) In IEEE Transactions on Antennas and Propagation
Abstract

An innovative approach utilizing convex optimization to simultaneously conduct pattern synthesis and improve the matching of large scale endfire antenna arrays is proposed in this paper. A fast full-wave analysis tool facilitates the computation of the necessary data for running the optimization routine, and enables analysis on arrays with dimensions 100λ × 6λ for the highest simulated frequency. Simulated results are provided for various array configurations of bowties, and the results show that improved matching can be obtained while maintaining a clear endfire far field pattern analogous to the pattern obtained with the classical Hansen-Woodyard excitation. The spatial dependence on the amplitude of... (More)

An innovative approach utilizing convex optimization to simultaneously conduct pattern synthesis and improve the matching of large scale endfire antenna arrays is proposed in this paper. A fast full-wave analysis tool facilitates the computation of the necessary data for running the optimization routine, and enables analysis on arrays with dimensions 100λ × 6λ for the highest simulated frequency. Simulated results are provided for various array configurations of bowties, and the results show that improved matching can be obtained while maintaining a clear endfire far field pattern analogous to the pattern obtained with the classical Hansen-Woodyard excitation. The spatial dependence on the amplitude of the optimized input waves in the antenna ports indicate that a considerable fraction of the input power is fed to the antennas at the array’s front, in the direction of where the main lobe is launched.

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author
organization
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type
Contribution to journal
publication status
epub
subject
keywords
Antenna arrays, Arrays, Convex functions, Convex optimization, endfire array antennas, large structures, macro basis function (MBF), Mathematical model, Method of moments, mutual coupling, Pattern matching
in
IEEE Transactions on Antennas and Propagation
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85038375381
ISSN
0018-926X
DOI
10.1109/TAP.2017.2780904
language
English
LU publication?
yes
id
8f3c8a5c-844e-4bea-8ca6-4b5f9d058ce1
date added to LUP
2018-01-03 13:19:29
date last changed
2018-01-03 13:19:29
@article{8f3c8a5c-844e-4bea-8ca6-4b5f9d058ce1,
  abstract     = {<p>An innovative approach utilizing convex optimization to simultaneously conduct pattern synthesis and improve the matching of large scale endfire antenna arrays is proposed in this paper. A fast full-wave analysis tool facilitates the computation of the necessary data for running the optimization routine, and enables analysis on arrays with dimensions 100&amp;#x03BB; &amp;#x00D7; 6&amp;#x03BB; for the highest simulated frequency. Simulated results are provided for various array configurations of bowties, and the results show that improved matching can be obtained while maintaining a clear endfire far field pattern analogous to the pattern obtained with the classical Hansen-Woodyard excitation. The spatial dependence on the amplitude of the optimized input waves in the antenna ports indicate that a considerable fraction of the input power is fed to the antennas at the array&amp;#x2019;s front, in the direction of where the main lobe is launched.</p>},
  author       = {Helander, Jakob and Tayli, Doruk and Sjoberg, Daniel},
  issn         = {0018-926X},
  keyword      = {Antenna arrays,Arrays,Convex functions,Convex optimization,endfire array antennas,large structures,macro basis function (MBF),Mathematical model,Method of moments,mutual coupling,Pattern matching},
  language     = {eng},
  month        = {12},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Antennas and Propagation},
  title        = {Synthesis of Large Endfire Antenna Arrays using Convex Optimization},
  url          = {http://dx.doi.org/10.1109/TAP.2017.2780904},
  year         = {2017},
}