Synthesis of Large Endfire Antenna Arrays using Convex Optimization

Jakob Helander; Doruk Tayli; Daniel Sjoberg

doi:10.1109/TAP.2017.2780904

Synthesis of Large Endfire Antenna Arrays using Convex Optimization

Jakob Helander, Doruk Tayli, Daniel Sjoberg

Electromagnetic Theory

Research output: Contribution to journal › Article › peer-review

5 Citations (SciVal)

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 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.

Original language	English
Pages (from-to)	712-720
Journal	IEEE Transactions on Antennas and Propagation
Volume	66
Issue number	2
Early online date	2017 Dec 6
DOIs	https://doi.org/10.1109/TAP.2017.2780904
Publication status	Published - 2018 Feb

Subject classification (UKÄ)

Other Electrical Engineering, Electronic Engineering, Information Engineering

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

Access to Document

10.1109/TAP.2017.2780904

5 Citations
2 Doctoral Thesis (compilation)

Millimeter Wave Imaging and Phased Array Antennas for 5G and Aerospace Applications
Helander, J., 2019, Department of Electrical and Information Technology, Lund University. 182 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File
Computational Tools for Antenna Analysis and Design
Tayli, D., 2018 Jan 31, Electromagnetic Theory Department of Electrical and Information Technology Lund University Sweden. 172 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File

Cite this

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title = "Synthesis of Large Endfire Antenna Arrays using Convex Optimization",

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 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{\textquoteright}s front, in the direction of where the main lobe is launched.",

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",

author = "Jakob Helander and Doruk Tayli and Daniel Sjoberg",

year = "2018",

month = feb,

doi = "10.1109/TAP.2017.2780904",

language = "English",

volume = "66",

pages = "712--720",

journal = "IEEE Transactions on Antennas and Propagation",

issn = "0018-926X",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

number = "2",

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TY - JOUR

T1 - Synthesis of Large Endfire Antenna Arrays using Convex Optimization

AU - Helander, Jakob

AU - Tayli, Doruk

AU - Sjoberg, Daniel

PY - 2018/2

Y1 - 2018/2

N2 - 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.

AB - 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.

KW - Antenna arrays

KW - Arrays

KW - Convex functions

KW - Convex optimization

KW - endfire array antennas

KW - large structures

KW - macro basis function (MBF)

KW - Mathematical model

KW - Method of moments

KW - mutual coupling

KW - Pattern matching

U2 - 10.1109/TAP.2017.2780904

DO - 10.1109/TAP.2017.2780904

M3 - Article

AN - SCOPUS:85038375381

VL - 66

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JO - IEEE Transactions on Antennas and Propagation

JF - IEEE Transactions on Antennas and Propagation

SN - 0018-926X

IS - 2

ER -

Synthesis of Large Endfire Antenna Arrays using Convex Optimization

Abstract

Subject classification (UKÄ)

Keywords

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Research output

Millimeter Wave Imaging and Phased Array Antennas for 5G and Aerospace Applications

Computational Tools for Antenna Analysis and Design

Cite this