Radar and RF Front End System Designs for Wireless Systems

Radar and RF Front End System Designs for Wireless Systems

Release Date: April, 2024|Copyright: © 2024 |Pages: 354
DOI: 10.4018/979-8-3693-0916-2
ISBN13: 9798369309162|ISBN13 Softcover: 9798369347522|EISBN13: 9798369309179
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Description & Coverage
Description:

The escalating demand for advanced communication, sensing, and scanning systems across various applications as well as the urgency to comprehend the complexities of RF Frontend systems is more pronounced than ever. At the heart of this challenge lies the reconfigurability feature, playing a vital role in shaping the current trajectory of wireless technologies. The book Radar and RF Front End System Designs for Wireless Systems delves straight into this pressing issue and examines the relentless pace of innovation spurred by a myriad of configuration and design architectures. While these advancements hold great promise, they also introduce challenges that warrant thorough examination.

Within the pages of this publication, a narrative unfolds that transcends theoretical discourse. The book offers a unique opportunity for academic scholars, researchers, and industry professionals to not only understand the intricacies of RF Frontend systems but also to grapple with the practical challenges posed by their rapid evolution. It becomes a guide in navigating this dynamic landscape, providing a deep exploration of the issues at hand and paving the way for informed solutions and breakthroughs.

Amidst the intricacies of RF Frontend systems, the publication strategically unfolds its content across four key sections. These sections encompass RF Frontend Antenna Systems for wireless applications, Radar and Antenna Systems design and modeling, the Impact of AI/ML in Frontend System Design and Applications, and Test and Measurement for Frontend system designs. Each section serves as a gateway for scholars and professionals to delve deeper into these critical areas, providing not only theoretical insights but also practical applications that bridge the gap between academic understanding and real-world challenges.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Beamforming Architectures
  • Calibration and Measurement
  • Challenges for Reconfigurable RF Frontend System Design
  • Deep Neural Network Applications for Radar and Antenna Analysis
  • Dynamic Metasurface Antenna system
  • Feeding and Control Systems for Reconfigurable Antenna Systems
  • Intelligent Internet of Things Network Analysis and Optimization
  • Low-Noise Amplifiers
  • Power Combiners
  • Radar and Antenna Systems
  • Radar Modeling and Signal Processing
  • Reconfigurable Antenna System for 5G and 6G
  • Reflective Intelligent Surface
  • RF Front-End Antenna Systems
  • Wireless System Modeling and Signal Processing
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Editor/Author Biographies
Shilpa Mehta has completed her PhD degree from Auckland University of Technology, New Zealand. She has five years of teaching experience from different reputed colleges and universities of India. Currently, she is working as a Teaching Assistant at Auckland University of Technology (AUT), Auckland, New Zealand. She was awarded Summer Doctoral Research Scholarship for her PhD research. She has worked on various interdisciplinary research projects and her research interests include Radio Frequency Integrated Circuits, RF front ends, Optimization, Internet of Things, Wireless Communication, Artificial Intelligence, Healthcare, Radars, and Software-defined Radios, Smart Cities. As an editor, she has edited four books with IGI Global and one with Nova Science Publishers. She is also working on different edited books to be published by IGI Global, Apple Academic Press, Scrivener-Wiley, Cambridge, and Springer Nature, respectively.
Rupesh Kumar was born in Bokaro Steel City, India, in 1983. He received B.Tech degree in Electronics & Communication engineering from SMIT, India, in 2008, and MS and PhD degrees in Electronics & Communication from Institut Mines-Telecom, Paris, France, in 2011 and 2014. Currently, he is working as a Professor at SSRM AP University, India. His research is focused on indoor localization system, FMCW-CW Radars, and Reconfigurable Array Antenna, RFID Technology, Wireless Sensing, Machine Learning.
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