Discover a modern approach to the analysis, modeling and design of high sensitivity phased arrays. Network theory, numerical methods and computational electromagnetic simulation techniques are uniquely combined to enable full system analysis and design optimization. Beamforming and array signal processing theory are integrated into the treatment from the start. Digital signal processing methods such as polyphase filtering and RFI mitigation are described, along with technologies for real-time hardware implementation. Key concepts from interferometric imaging used in radio telescopes are also considered. A basic development of theory and modeling techniques is accompanied by problem sets that guide readers in developing modeling codes that retain the simplicity of the classical array factor method while incorporating mutual coupling effects and interactions between elements. Combining current research trends with pedagogical material suitable for a first-year graduate course, this is an invaluable resource for students, teachers, researchers, and practicing RF/microwave and antenna design engineers.
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Karl F. Warnick is a Professor in the Department of Electrical and Computer Engineering at Brigham Young University, Utah, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Rob Maaskant is an Associate Professor at Chalmers University of Technology and the Eindhoven University of Technology.
Marianna V. Ivashina is a Professor in the Department of Electrical Engineering at Chalmers University of Technology.
David B. Davidson is the Engineering Director of the Curtin Institute for Radio Astronomy, and also holds the Chair of Radio Astronomy Engineering, at Curtin University, Australia. Prior to this, he was a Distinguished Professor and the SA-SKA Research Chair in Engineering Electromagnetics at the University of Stellenbosch, South Africa, where he remains Emeritus Professor. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE).
Brian D. Jeffs is a Professor in the Department of Electrical and Computer Engineering at Brigham Young University, Utah.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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