Expedited Design Closure of Antenna Input Characteristics by Trust Region Gradient Search and Principal Component Analysis - Publikacja - MOST Wiedzy

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Expedited Design Closure of Antenna Input Characteristics by Trust Region Gradient Search and Principal Component Analysis

Abstrakt

Optimization-based parameter tuning has become an inherent part of contemporary antenna design process. For the sake of reliability, it is typically conducted at the level of full-wave electromagnetic (EM) simulation models. This may incur considerable computational expenses depending on the cost of an individual EM analysis, the number of adjustable variables, the type of task (local, global, single-/multi-objective optimization), and the constraints involved. For these reasons, utilization of conventional algorithms is often impractical. This paper proposes a novel gradient-based algorithm with numerical derivatives for expedited antenna optimization. The improvement of computational efficiency is obtained by employing a rank-one Broyden formula and restricting finite differentiation sensitivity updates to the principal directions of the Jacobian matrix, i.e., those corresponding to the most significant changes of the antenna responses. Comprehensive numerical validation carried out using three wideband antennas indicates that the presented methodology offers considerable savings of sixty percent with respect to the reference trust-region algorithm. At the same time, virtually no degradation of the design quality is observed. Furthermore, algorithm reliability is greatly improved (while offering comparable computational efficiency) over the recent state-of-the-art accelerated gradient-based procedures.

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Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
IEEE Access nr 8, strony 8502 - 8511,
ISSN: 2169-3536
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Tomasson J., Kozieł S., Pietrenko-Dąbrowska A.: Expedited Design Closure of Antenna Input Characteristics by Trust Region Gradient Search and Principal Component Analysis// IEEE Access -Vol. 8, (2020), s.8502-8511
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/access.2020.2964096
Weryfikacja:
Politechnika Gdańska

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