Multivariate adaptive sampling of parameterized antenna responses
Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
Abstract
ENGLISH ABSTRACT: We present a robust method to adaptively construct
parameterized models of the full radiation patterns of antennas
and the associated S-parameters. The method sequentially selects
points (geometric parameters of the antenna and frequency)
such that an accurate model is obtained over a constrained
multivariate parameter space. The algorithm consists of a balance
between exploration and exploitation of the parameter space,
resulting in a near optimal coverage of the design space, with
some emphasis being placed in regions of the parameter space
where the patterns or S-parameters vary rapidly. In addition, the
technique is equipped with a measure of absolute error control.
The proposed method is validated through pertinent numerical
examples.
Description
CITATION: Mutonkole, N. & De Villiers, D. I. L. 2017. Multivariate adaptive sampling of parameterized antenna responses. IEEE Transactions on Antennas and Propagation, 65(3):1073-1080, doi:10.1109/TAP.2017.2653761.
The original publication is available at http://ieeexplore.ieee.org
The original publication is available at http://ieeexplore.ieee.org
Keywords
Antenna radiation patterns, Adaptive sampling (Statistics), Bayesian statistical decision theory, Electromagnetic fields -- Mathematical models
Citation
Mutonkole, N. & De Villiers, D. I. L. 2017. Multivariate adaptive sampling of parameterized antenna responses. IEEE Transactions on Antennas and Propagation, 65(3):1073-1080, doi:10.1109/TAP.2017.2653761