This book provides in-depth exposure to emerging technologies and recent advancements in RF, Microwave, and Millimetre Wave Technologies. The book covers the basic concepts along with the recent advancements in designing and developing antennas and circuits for the latest technologies. The concepts of mode compression, Full Duplex communication, massive MIMO, frequency selective surfaces, reflectarrays, and metasurfaces have been discussed in detail. Various types of antennas, such as electrically small antennas, textile antennas, dielectric resonator antennas, etc., to be used for the latest wireless devices, RFID applications are also thoroughly explored. The concept of machine learning to develop data-driven models for antenna design is also discussed briefly to provide readers with an introduction to the ML algorithms. The readers will be able to understand the theoretical concepts and practical design aspects of various antennas, high-frequency circuits, and device modeling. The target audience includes but is not limited to undergraduates, post-graduates, research scholars, academicians, scientists, and professionals who are interested in getting the latest knowledge in the field of RF, Microwave, and Millimetre Wave Technologies.
Table of Contents:
Introduction to Important Concepts of RF Microwave and Millimeter Wave Technologies.- Finite Circular Ground Plane Effects A Case Study of Monopole Antenna.- Mode Compression Theory Dipole Antennas.- Multiple resonators loaded Electrically small antennas for wireless devices.- Textile Antennas for RFID Applications.- Recent Trends in the Design and Development of Dielectric Resonator Antennas.- A Low Profile Perturbed Convex Conformal CDRA.- Offset fed Reflectarray Antenna Design.- Antennas for Full duplex Communication State of the art and Way Forward.- Understanding Metasurface Based Microwave Absorbers Using Transmission Line Theory.- Frequency Selective Surface and its Applications in Radome Technology.- Algorithmic Applications for Massive MIMO Technology.- Regression model for Antenna Design.
About the Author :
Dr. Hemant Kumar obtained his B.Tech. (Honors) in ECE from Kurukshetra University in 2010 and Ph.D. in Electrical Engineering from IIT Bombay in 2018. Currently, He is working as an Assistant Professor in the Department of ECE at NIT Tiruchirappalli. Throughout his academic journey, Dr. Kumar has actively participated in various extracurricular activities, showcasing his social, cultural, leadership, and organizational skills. He was awarded a Gold Medal in BTech by the Haryana State Governor. His research interests include electromagnetics, antennas, microwave passive circuits, and monopulse radar. He has published 25+ research articles in reputed national/international journals and conferences, and also holds one patent. Additionally, He holds prestigious roles, such as the editor of the IETE Journal of Research (published by Taylor & Francis), and a reviewer for various national/international journals, including IEEE, IET, IETE, etc. He is a senior member of IEEE and URSI, a life Senior member of the WAMS Society, and a life member of IETE, ATMS, and IEI. He is a recipient of the IETE Sri C Viswanatha Reddy Memorial Award 2023. He has also been honored with the Innovation in Microwave Field Award 2023, conferred by IEEE APS/MTTS Joint Chapter, Gujarat.
Dr. E. S. Gopi has authored nine books published by Springer. He has several papers in reviewed book chapters, conference publications and journals to his credit. He has got several research papers published in the reputed journals, reviewed book chapters and conference proceedings. He was the editor for the proceedings of MDCWC2020, published in the Lecture Notes in Electrical Engineering. He has 24 years of teaching and research experience. He is the coordinator for the pattern recognition and the computational intelligence laboratory. He is currently Associate Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Trichy (Government of India). His books are widely used all over the world. His book on “Pattern recognition and Computational intelligence using Matlab”, Springer was recognized as one of the bestebook under “pattern recognition” and “Matlab” categories by the Book authority, world’s leading site for book recommendations by thought leaders. His research interests include Machine intelligence, Pattern recognition, Statistical signal processing and Computational intelligence. He is the series editor for the series “Signals and Communication Technology”, Springer publication. His video course on “Pattern recognition”, “Statistical theory of Communication” and “Linear algebra and stochastic process” are well appreciated by the fellow students.
