Chipless RFID Systems Using Advanced Artificial Intelligence
By: Larry M. Arjomandi and Nemai Chandra Karmakar
This book is a comprehensive guide to developing hybrid mmWave chipless RFID systems. It encompasses chipless tags, reader hardware and detection algorithms that employ advanced image processing and ML techniques. This book distinguishes itself from existing literature with six chapters exploring a broad range of relevant topics. Each chapter in this book is structured to provide technical depth and accessibility, making it a valuable resource for engineers and researchers working on mmWave chipless RFID technologies. Readers will discover how to utilize cutting-edge AI detection techniques and cloud computing to significantly lower costs. Commencing with foundational concepts, the book equips readers with the necessary background to create chipless tag signatures that can be printed on standard plastic substrates. The book introduces cost-effective image construction methods aimed at reducing detection errors, to enhance overall system reliability. A key focus is on side-looking aperture radar (SLAR), where deep learning techniques improve the safety of chipless detection. The text emphasizes three principal areas of system development: tag design, reader design and formulating appropriate decoding algorithms.
Each chapter is rich with practical design examples, ensuring that readers can apply the concepts to real-world applications. With its emphasis on the mmWave band and a hands-on approach to designing chipless tags, reader hardware and detection algorithms, this book serves as an invaluable resource for industry engineers, design professionals and academic researchers alike. The inclusion of practical Q&A sections at the end of each chapter further enhances the reader’s understanding of the content.
Reviewed by: Ajay K. Poddar
ISBN: 9781630819484
Pages: 240
To order this book, contact:
Artech House (2023)
us.artechhouse.com