eBook

Chipless RFID Systems Using Advanced Artificial Intelligence

Arjomandi, Larry

2023

Overview

This book shows you how to develop a hybrid mm-wave chipless Radio Frequency Identification (RFID) system, which includes chip-less tag, reader hardware, and detection algorithm that use image processing and machine learning (ML) techniques. It provides the background and information you need to apply the concepts of AI into detection and chip-less tag signature printable on normal plastic substrates, instead of the conventional peak/nulls in the frequency tags. You’ll learn how to incorporate new AI detection techniques along with cloud computing to lower costs. You’ll also be shown a cost-effective means of image construction, which can lower detection errors. The book focuses on side-looking-aperture-radar (SLAR) with a combination of deep learning to provide a much safer means of chipless detection than the current iSAR technique, and includes extensive coverage of reader array antennas, beamforming, and MIMO. Each chapter includes practical examples of design. With its emphasis on mm-waveband and the practical side of design and engineering of the chipless tags, reader and detection algorithms, this is an excellent resource for industry engineers, design engineers and university researchers.

• Publisher: Artech,Artech House
• Subject: Artificial intelligence / Communication, Networking and Broadcast Technologies / Components, Circuits, Devices and Systems / Computing and Processing / Fields, Waves and Electromagnetics / Radio frequency identification systems / Signal Processing and Analysis / TECHNOLOGY & ENGINEERING
• ISBN: 1630819492, 9781630819491, 9781630819484, 1630819484