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This book discusses the development of promising technologies for
compact antennas for high data-rate communications. It discusses
and analyzes the design of compact ultra-wideband (UWB) and
multiple input, multiple output (MIMO) antennas, providing
essential know-how for designers, practicing engineers and
scientists. These wireless communication technologies enable
consumers to have convenient access to a wide range of services -
anytime, anywhere. And the introduction of wireless mobile access
points eliminates the limitations to communication imposed by
geographical location. The Internet has allowed people to access
and share information much more rapidly, but in order to achieve
higher data rates with the limited available resources and imposed
constraints, wireless communication technology needs to be pushed
beyond the physical limits of the propagation channel. This book
contributes to achieving this goal.
The growing commercial market of Microwave/ Millimeter wave
industry over the past decade has led to the explosion of interests
and opportunities for the design and development of microwave
components.The design of most microwave components requires the use
of commercially available electromagnetic (EM) simulation tools for
their analysis. In the design process, the simulations are carried
out by varying the design parameters until the desired response is
obtained. The optimization of design parameters by manual searching
is a cumbersome and time consuming process. Soft computing methods
such as Genetic Algorithm (GA), Artificial Neural Network (ANN) and
Fuzzy Logic (FL) have been widely used by EM researchers for
microwave design since last decade. The aim of these methods is to
tolerate imprecision, uncertainty, and approximation to achieve
robust and low cost solution in a small time frame. Modeling and
optimization are essential parts and powerful tools for the
microwave/millimeter wave design. This book deals with the
development and use of soft computing methods for tackling
challenging design problems in the microwave/millimeter wave
domain. The aim in the development of these methods is to obtain
the design in small time frame while improving the accuracy of the
design for a wide range of applications. To achieve this goal, a
few diverse design problems of microwave field, representing varied
challenges in the design, such as different microstrip antennas,
microwave filters, a microstrip-via and also some critical high
power components such as nonlinear tapers and RF-windows are
considered as case-study design problems. Different design
methodologies are developed for these applications. The presents
soft computing methods, their review for microwave/millimeter wave
design problems and specific case-study problems to infuse better
insight and understanding of the subject.
The growing commercial market of Microwave/ Millimeter wave
industry over the past decade has led to the explosion of interests
and opportunities for the design and development of microwave
components.The design of most microwave components requires the use
of commercially available electromagnetic (EM) simulation tools for
their analysis. In the design process, the simulations are carried
out by varying the design parameters until the desired response is
obtained. The optimization of design parameters by manual searching
is a cumbersome and time consuming process. Soft computing methods
such as Genetic Algorithm (GA), Artificial Neural Network (ANN) and
Fuzzy Logic (FL) have been widely used by EM researchers for
microwave design since last decade. The aim of these methods is to
tolerate imprecision, uncertainty, and approximation to achieve
robust and low cost solution in a small time frame. Modeling and
optimization are essential parts and powerful tools for the
microwave/millimeter wave design. This book deals with the
development and use of soft computing methods for tackling
challenging design problems in the microwave/millimeter wave
domain. The aim in the development of these methods is to obtain
the design in small time frame while improving the accuracy of the
design for a wide range of applications. To achieve this goal, a
few diverse design problems of microwave field, representing varied
challenges in the design, such as different microstrip antennas,
microwave filters, a microstrip-via and also some critical high
power components such as nonlinear tapers and RF-windows are
considered as case-study design problems. Different design
methodologies are developed for these applications. The presents
soft computing methods, their review for microwave/millimeter wave
design problems and specific case-study problems to infuse better
insight and understanding of the subject.
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