Time-Domain Signature Barcodes for Chipless-RFID and Sensing Applications

Time-Domain Signature Barcodes for Chipless-RFID and Sensing Applications
Author :
Publisher : Springer Nature
Total Pages : 156
Release :
ISBN-10 : 9783030397265
ISBN-13 : 3030397262
Rating : 4/5 (262 Downloads)

Book Synopsis Time-Domain Signature Barcodes for Chipless-RFID and Sensing Applications by : Ferran Martín

Download or read book Time-Domain Signature Barcodes for Chipless-RFID and Sensing Applications written by Ferran Martín and published by Springer Nature. This book was released on 2020-02-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an unconventional approach for implementing chipless radiofrequency identification (RFID) systems and related sensors. Contrary to most state-of-the-art chipless-RFID systems, the proposed approach is based on time domain and the tags are read through near field. The book discusses different aspects of these chipless-RFID systems, including tag and reader design, strategies to enhance the data density and capacity, tag programming and erasing, tag implementation in plastic and paper substrates, and synchronous tag reading, among others. A tolerance analysis and validation of the different systems, as well as prospective applications, are also included. The book also offers a comprehensive overview of the state-of-the-art in chipless-RFID technology, including a comparative analysis, which is extended also to chip-based RFID systems. Readers are expected to be familiar with RF/microwave engineering technology. Besides master’s and postgraduate students, the book is intended for researchers in the field of radiofrequency identification (RFID) technology, and may be of interest for engineers working in the areas of wireless communications, automatic identification, security, authentication, microwave and wireless sensors, as well as those dealing with internet of things (IoT) and smart systems.


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As modern technologies continue to transform and impact our society, Radio Frequency Identification has emerged as one of the top areas of study to do just that