Statistical analysis of antenna robustness

Abstract

This paper presents a methodology for the evaluation of antenna susceptibility to various types of random physical damage. A Monte Carlo statistical method is proposed to estimate antenna parameters for different damage levels. A virtual experiment is used in order to avoid lengthy experimental trials. Antenna parameters are modeled for each randomly generated damage pattern. Statistical post processing with the Bootstrap method evaluates the parameters acquired from the antenna modeling software. To illustrate the methodology a comparative study of the Input Return Loss for the damage inflicted upon a planar dipole and a bow-tie antenna is made. The median value is estimated to describe the "typical" behavior of the antenna. With taken assumptions, Input Return Loss for the Bow-tie antenna is found more sensitive to partial damage.

Original language	English
Pages (from-to)	566-568
Number of pages	3
Journal	IEEE Transactions on Antennas and Propagation
Volume	53
Issue number	1 II
DOIs	https://doi.org/10.1109/TAP.2004.838779
Publication status	Published - Jan 2005
Externally published	Yes

Keywords

Antennas
Monte Carlo methods
Robustness
Statistics

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/TAP.2004.838779

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title = "Statistical analysis of antenna robustness",

abstract = "This paper presents a methodology for the evaluation of antenna susceptibility to various types of random physical damage. A Monte Carlo statistical method is proposed to estimate antenna parameters for different damage levels. A virtual experiment is used in order to avoid lengthy experimental trials. Antenna parameters are modeled for each randomly generated damage pattern. Statistical post processing with the Bootstrap method evaluates the parameters acquired from the antenna modeling software. To illustrate the methodology a comparative study of the Input Return Loss for the damage inflicted upon a planar dipole and a bow-tie antenna is made. The median value is estimated to describe the {"}typical{"} behavior of the antenna. With taken assumptions, Input Return Loss for the Bow-tie antenna is found more sensitive to partial damage.",

keywords = "Antennas, Monte Carlo methods, Robustness, Statistics",

author = "Torbj{\"o}rn Olsson and Andrei Koptioug",

note = "Funding Information: Manuscript received November 10, 2003; revised May 5, 2004. This work was supported in part by the KK Foundation under Grant 1999/0182 through the Fiber Sciences and Communication Network (FSCN). T. Olsson is with Bofors Defence AB, 691 80 Karlskoga, Sweden and also with Mid-Sweden University, SE-851 70 Sundsvall, Sweden (e-mail: torbjorn.olsson@bofors.se). A. Koptioug is with Department of Information Technology and Media, Mid-Sweden University, {\"O}stersund, Sweden (e-mail: Andrei.Koptioug@mh.se). Digital Object Identifier 10.1109/TAP.2004.838779 Fig. 1. Example of the imaginary frame generation for the case of Bow-tie antenna and circular elementary damages. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.",

year = "2005",

month = jan,

doi = "10.1109/TAP.2004.838779",

language = "English",

volume = "53",

pages = "566--568",

journal = "IEEE Transactions on Antennas and Propagation",

issn = "0018-926X",

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

number = "1 II",

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AU - Olsson, Torbjörn

AU - Koptioug, Andrei

N1 - Funding Information: Manuscript received November 10, 2003; revised May 5, 2004. This work was supported in part by the KK Foundation under Grant 1999/0182 through the Fiber Sciences and Communication Network (FSCN). T. Olsson is with Bofors Defence AB, 691 80 Karlskoga, Sweden and also with Mid-Sweden University, SE-851 70 Sundsvall, Sweden (e-mail: torbjorn.olsson@bofors.se). A. Koptioug is with Department of Information Technology and Media, Mid-Sweden University, Östersund, Sweden (e-mail: Andrei.Koptioug@mh.se). Digital Object Identifier 10.1109/TAP.2004.838779 Fig. 1. Example of the imaginary frame generation for the case of Bow-tie antenna and circular elementary damages. Copyright: Copyright 2008 Elsevier B.V., All rights reserved.

PY - 2005/1

Y1 - 2005/1

N2 - This paper presents a methodology for the evaluation of antenna susceptibility to various types of random physical damage. A Monte Carlo statistical method is proposed to estimate antenna parameters for different damage levels. A virtual experiment is used in order to avoid lengthy experimental trials. Antenna parameters are modeled for each randomly generated damage pattern. Statistical post processing with the Bootstrap method evaluates the parameters acquired from the antenna modeling software. To illustrate the methodology a comparative study of the Input Return Loss for the damage inflicted upon a planar dipole and a bow-tie antenna is made. The median value is estimated to describe the "typical" behavior of the antenna. With taken assumptions, Input Return Loss for the Bow-tie antenna is found more sensitive to partial damage.

AB - This paper presents a methodology for the evaluation of antenna susceptibility to various types of random physical damage. A Monte Carlo statistical method is proposed to estimate antenna parameters for different damage levels. A virtual experiment is used in order to avoid lengthy experimental trials. Antenna parameters are modeled for each randomly generated damage pattern. Statistical post processing with the Bootstrap method evaluates the parameters acquired from the antenna modeling software. To illustrate the methodology a comparative study of the Input Return Loss for the damage inflicted upon a planar dipole and a bow-tie antenna is made. The median value is estimated to describe the "typical" behavior of the antenna. With taken assumptions, Input Return Loss for the Bow-tie antenna is found more sensitive to partial damage.

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KW - Robustness

KW - Statistics

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