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A Comparison of Macro Basis Function Methods for Interconnected Endfire Antenna Arrays

Helander, Jakob LU ; Tayli, Doruk LU and Sjoberg, Daniel LU orcid (2017) In IEEE Antennas and Wireless Propagation Letters 16. p.2159-2162
Abstract

Two approaches to the macro basis function (MBF) method that target interconnected subdomains have been adapted to finite linear arrays, and benchmarked against each other in order to estimate their performance with respect to the strong near field coupling that occurs under the endfire mode operation. The methods, here referred to as methods A and B, are based on the synthetic function and characteristic basis function method, respectively, presented in the previous literature. The occurrence of very strong near-field coupling can be seen to affect the number of MBFs required for a certain level of accuracy, although both approaches perform well under the test scenario. However, method B provides a considerably more efficient... (More)

Two approaches to the macro basis function (MBF) method that target interconnected subdomains have been adapted to finite linear arrays, and benchmarked against each other in order to estimate their performance with respect to the strong near field coupling that occurs under the endfire mode operation. The methods, here referred to as methods A and B, are based on the synthetic function and characteristic basis function method, respectively, presented in the previous literature. The occurrence of very strong near-field coupling can be seen to affect the number of MBFs required for a certain level of accuracy, although both approaches perform well under the test scenario. However, method B provides a considerably more efficient compression with respect to a maximum acceptable error level.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Characteristic basis functions, endfire arrays, finite arrays, macro basis functions (MBFs), method of moments (MoM)
in
IEEE Antennas and Wireless Propagation Letters
volume
16
article number
7918517
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000407360900071
  • scopus:85029407297
ISSN
1536-1225
DOI
10.1109/LAWP.2017.2700893
language
English
LU publication?
yes
id
33947f2a-e496-407f-b29b-b3102d5ea4c2
date added to LUP
2017-10-04 09:25:41
date last changed
2024-04-14 18:50:09
@article{33947f2a-e496-407f-b29b-b3102d5ea4c2,
  abstract     = {{<p>Two approaches to the macro basis function (MBF) method that target interconnected subdomains have been adapted to finite linear arrays, and benchmarked against each other in order to estimate their performance with respect to the strong near field coupling that occurs under the endfire mode operation. The methods, here referred to as methods A and B, are based on the synthetic function and characteristic basis function method, respectively, presented in the previous literature. The occurrence of very strong near-field coupling can be seen to affect the number of MBFs required for a certain level of accuracy, although both approaches perform well under the test scenario. However, method B provides a considerably more efficient compression with respect to a maximum acceptable error level.</p>}},
  author       = {{Helander, Jakob and Tayli, Doruk and Sjoberg, Daniel}},
  issn         = {{1536-1225}},
  keywords     = {{Characteristic basis functions; endfire arrays; finite arrays; macro basis functions (MBFs); method of moments (MoM)}},
  language     = {{eng}},
  pages        = {{2159--2162}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Antennas and Wireless Propagation Letters}},
  title        = {{A Comparison of Macro Basis Function Methods for Interconnected Endfire Antenna Arrays}},
  url          = {{http://dx.doi.org/10.1109/LAWP.2017.2700893}},
  doi          = {{10.1109/LAWP.2017.2700893}},
  volume       = {{16}},
  year         = {{2017}},
}