Book description:

Smart antennas boost the power of a wireless network, saving energy and money and greatly increasing the range of wireless broadband.

Smart Antennas

is a rigorous textbook on smart antenna design and deployment.

A Complete Overview of the Basic Electromagnetics, Propagation, and Signal Processing Behind Smart Antenna Design

This advanced level text and reference thoroughly details the operating principles of smart antennas and utilizes a multidisciplinary approach to achieve a more comprehensive understanding of this growing subject. An equal emphasis is placed on electromagnetic principles, array signal processing, random processes, channel characterization, spectral estimation, and adaptive algorithms. The author expertly relates these principles to the real world market demands of the wireless communication field -- including both military and commercial applications -- and includes valuable case studies and examples solved using MATLAB.

Rigorous smart antenna-focused coverage includes:

  • Electromagnetic basics

  • Antenna fundamentals

  • Random processes

  • Channel characterization

  • Array signal processing

  • Sidelobe cancellation

  • Angle-of-arrival estimation

  • Adaptive methodologies

Smart antennas are firmly established as one of the key technologies helping to transform the wireless market. You will find this book essential to understanding their fundamental behavior and real world application.

DETAILED COVERAGE OF SMART ANTENNA ANALYSIS AND DESIGN: * Electromagnetic Basics: Maxwell's Equations * Boundary Conditions * Propagation * Antenna Radiation * Power Density and Power Patterns * Antenna Directivity * Radiation Resistance * Array Antenna Fundamentals: Linear Arrays * Array Weighting * Beamsteered Arrays * Circular Arrays * Beamsteered Circular Arrays * Fixed Beam and Sectorized Arrays * The Butter Matrix * Sidelobe Cancellors * Retrodirective Arrays * Smart Antennas: Adaptive Algorithm Basics * Gradient Based Methods * Howells Applebaum Processor * Direct Inversion * Sample Matrix Inversion Recursive Methods * Adaptive Arrays for CDMA * Waveform Diversity Methods * MIMO Examples * Angle-of-Arrival Estimation: Spectral Estimation Methods * Channel Characterization: Slow Fading; Fast Fading; Spreading * Channel Equalization * Fundamentals of Random Processes

Frank Gross, Ph.D. (Tallahassee, FL)

is Associate Professor of Electrical Engineering at Florida State University. He previously served as Lead Engineer for the Mitre Corp. and a Senior Research Engineer at the Georgia Tech Research Institute. He holds a Ph.D. in Electrical Engineering from Ohio State University, has authored over 50 professional papers in electro-magnetics, and contributed to Wiley’s

Encyclopedia of Electrical Engineering.

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