Multivariate Adaptive Sampling of Parameterized Antenna Responses

Mutonkole, Ngoy; Villiers, Dirk I. L. de

doi:10.1109/tap.2017.2653761

Cited by 5 publications

(2 citation statements)

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“…The characteristic basis function pattern (CBFP) method 27 effectively models far-field patterns over any angular region, as a function of the antenna geometry. 28,29 The method decomposes high-fidelity antenna radiation patterns into an orthonormal set of basis functions, by performing singular value decomposition (SVD) to obtain,…”

Section: Radiation Pattern Modelingmentioning

confidence: 99%

“…The characteristic basis function pattern (CBFP) method 27 effectively models far‐field patterns over any angular region, as a function of the antenna geometry 28,29 . The method decomposes high‐fidelity antenna radiation patterns into an orthonormal set of basis functions, by performing singular value decomposition (SVD) to obtain,

F_{M} bold= {BSV}^{*},

where F M is an N p × N s matrix, derived by simulating the feed at a number of arbitrary points, N s , in the antenna geometric design space, and the far‐fields are sampled at N p distinct pointing directions.…”

Section: Surrogate‐based Optimization Frameworkmentioning

confidence: 99%

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Efficient optimization of wideband reflector feed antennas for optimal receiving sensitivity

Mokhupuki

Villiers

2020

Int J Numerical Modelling

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Wideband reflector antenna feeds are a geometrically complex class of antennas, requiring a variety of design parameters to describe their form. This casts the optimization of such structures as a high-dimensionality problem. The antenna responses are also difficult to predict and must be determined via computationally expensive full-wave electromagnetic simulations. This paper proposes a surrogate-based optimization approach for the design of wideband feed antennas. Beginning with high-fidelity goal function data from a global search space, the framework nominates a number of local search regions where separate, formal, multifidelity optimizations are performed. The formulated goal function maximizes the receiving sensitivity, while ensuring that the reflection coefficient response satisfies a predefined criterion. An approximate, fast-to-evaluate coarse model of the goal function, based on a series of surrogate models estimating the feed and reflector antenna responses, is formulated.Most of the optimization burden is shifted to the coarse model, where highfidelity samples are adaptively added to the regions of the design space where the coarse model performs well or where the sampling is sparse. As a design example, the optimization of a quad-ridge flared horn feed antenna, on a Square Kilometre Array reflector system, is presented to highlight the efficacy of the method. K E Y W O R D S characteristic basis function pattern method, quad-ridge flared horn antenna, reflector antennas, surrogate-based optimization | INTRODUCTIONIn the field of radio astronomy, there exists a need for high fidelity, wideband, single-pixel reflector feed antennas with an operational bandwidth exceeding one octave. A feed meeting such requirements would allow new-generation radio telescope projects, such as the Square Kilometre Array (SKA), 1 to reduce their total number of feeds per reflector-due to the wide bandwidth of each feed-and still maintain their predefined performance specifications. The primary benefit of this is a reduction of system costs; furthermore, the simultaneous coverage of wider bandwidths would also enable the pursuit of more ambitious science goals.

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Section: Radiation Pattern Modelingmentioning

confidence: 99%