Computer-aided full-wave electromagnetic (EM) analysis has been
used in microwave engineering for the past decade. Initially, its
main application area was design verification. Today,
EM-simulation-driven optimization and design closure become
increasingly important due to the complexity of microwave
structures and increasing demands for accuracy. In many situations,
theoretical models of microwave structures can only be used to
yield the initial designs that need to be further fine-tuned to
meet given performance requirements. In addition, EM-based design
is a must for a growing number of microwave devices such as
ultra-wideband (UWB) antennas, dielectric resonator antennas and
substrate-integrated circuits. For circuits like these, no
design-ready theoretical models are available, so design
improvement can only be obtained through geometry adjustments based
on repetitive, time-consuming simulations. On the other hand,
various interactions between microwave devices and their
environment, such as feeding structures and housing, must be taken
into account, and this is only possible through full-wave EM
analysis.Electromagnetic simulations can be highly accurate, but
they tend to be computationally expensive. Therefore, practical
design optimization methods have to be computationally efficient,
so that the number of CPU-intensive high-fidelity EM simulations is
reduced as much as possible during the design process. For the same
reasons, techniques for creating fast yet accurate models of
microwave structures become crucially important.In this edited
book, the authors strive to review the state-of-the-art
simulation-driven microwave design optimization and modeling. A
group of international experts specialized in various aspects of
microwave computer-aided design summarize and review a wide range
of the latest developments and real-world applications. Topics
include conventional and surrogate-based design optimization
techniques, methods exploiting adjoint sensitivity,
simulation-based tuning, space mapping, and several modeling
methodologies, such as artificial neural networks and kriging.
Applications and case studies include microwave filters, antennas,
substrate integrated structures and various active components and
circuits. The book also contains a few introductory chapters
highlighting the fundamentals of optimization and modeling,
gradient-based and derivative-free algorithms, metaheuristics, and
surrogate-based optimization techniques, as well as finite
difference and finite element methods.
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