Simulation-Based Optimization of Antenna Arrays

Nonfiction, Science & Nature, Technology, Telecommunications, Engineering
Cover of the book Simulation-Based Optimization of Antenna Arrays by Slawomir Koziel, Stanislav Ogurtsov, World Scientific Publishing Company
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Author: Slawomir Koziel, Stanislav Ogurtsov ISBN: 9781786346001
Publisher: World Scientific Publishing Company Publication: February 13, 2019
Imprint: WSPC (EUROPE) Language: English
Author: Slawomir Koziel, Stanislav Ogurtsov
ISBN: 9781786346001
Publisher: World Scientific Publishing Company
Publication: February 13, 2019
Imprint: WSPC (EUROPE)
Language: English

The book addresses surrogate-assisted design of antenna arrays, in particular, how surrogate models, both data-driven and physics-based, can be utilized to expedite procedures such as parametric optimization, design closure, statistical analysis, or fault detection. Algorithms and design frameworks are illustrated using a large variety of examples including real-world printed-circuit antenna and antenna array structures.

This unique compendium contains introductory materials concerning numerical optimization, both conventional (gradient-based and derivative-free, including metaheuristics) and surrogate-based, as well as a considerable selection of customized procedures developed specifically to handle antenna array problems. Recommendations concerning practical aspects of surrogate-assisted multi-objective antenna optimization are also given. The methods presented allow for cost-efficient handling of antenna array design problems (involving CPU-intensive EM models) in the context of design optimization and statistical analysis, which will benefit both researchers, designers and graduate students.

Contents:

  • Introduction
  • Antenna Array Fundamentals
  • Fundamentals of Numerical Optimization
  • Global Optimization: Population-Based Metaheuristics
  • Fundamentals of Surrogate-Based Modeling and Optimization
  • Antenna Models for Simulation-Based Design
  • Element Design: Case Studies
  • Microstrip Antenna Subarray Design Using Simulation-Based Optimization
  • Antenna Array Models for Simulation-Based Design and Optimization
  • Design of Linear Antenna Array Apertures Using Surrogate-Assisted Optimization
  • Design of Planar Microstrip Antenna Arrays Using Variable-Fidelity EM Models
  • Design of Planar Microstrip Array Antennas Using Simulation-Based Superposition Models
  • Design of Planar Arrays Using Radiation Response Surrogates
  • Simulation-Based Design of Corporate Feeds for Low-Sidelobe Microstrip Linear Arrays
  • Design of Linear Phased Array Apertures Using Response Correction and Surrogate-Assisted Optimization
  • Fault Detection in Linear Arrays Using Response Correction Techniques
  • Surrogate-Assisted Tolerance Analysis of Microstrip Linear Arrays with Corporate Feeds
  • Discussion and Recommendations: Prospective Look

Readership: Primary readership: antenna engineering and microwave engineering (graduate students, researchers, and designers); Secondary readership: electrical engineering, mechanical engineering (graduate students, researchers, designers).
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The book addresses surrogate-assisted design of antenna arrays, in particular, how surrogate models, both data-driven and physics-based, can be utilized to expedite procedures such as parametric optimization, design closure, statistical analysis, or fault detection. Algorithms and design frameworks are illustrated using a large variety of examples including real-world printed-circuit antenna and antenna array structures.

This unique compendium contains introductory materials concerning numerical optimization, both conventional (gradient-based and derivative-free, including metaheuristics) and surrogate-based, as well as a considerable selection of customized procedures developed specifically to handle antenna array problems. Recommendations concerning practical aspects of surrogate-assisted multi-objective antenna optimization are also given. The methods presented allow for cost-efficient handling of antenna array design problems (involving CPU-intensive EM models) in the context of design optimization and statistical analysis, which will benefit both researchers, designers and graduate students.

Contents:

Readership: Primary readership: antenna engineering and microwave engineering (graduate students, researchers, and designers); Secondary readership: electrical engineering, mechanical engineering (graduate students, researchers, designers).
0

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