Title:
Statistical Analysis of Antenna Robustness
Author(s):
Torbjörn Olsson and Andrei Koptioug
Source:
IEEE Transactions on Antennas and Propagation
Vol./Issue/Date:
Vol. 53, No. 1, January 2005
Year:
2005
Page(s):
566 - 570
Keywords:
Antennas, Monte Carlo methods, robustness, statistics.
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” behaviorof the antenna. With taken assumptions, Input Return Loss for the
Bow-tie antenna is found more sensitive to partial damage.
Document:
Reference Id:
97
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