Details

Advanced Chipless RFID

MIMO-Based Imaging at 60 GHz - ML Detection
Wiley Series in Microwave and Optical Engineering 1. Aufl.

von: Nemai Chandra Karmakar, Mohammad Zomorrodi, Chamath Divarathne
109,99 €
Verlag:	Wiley
Format:	EPUB
Veröffentl.:	03.08.2016
ISBN/EAN:	9781119227335
Sprache:	englisch
Anzahl Seiten:	304

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Titelbeschreibung

Introduces advanced high-capacity data encoding and throughput improvement techniques for fully printable multi-bit Chipless RFID tags and reader systems The book proposes new approaches to chipless RFID tag encoding and tag detection that supersede their predecessors in signal processing, tag design, and reader architectures. The text is divided into two main sections: the first section introduces the fundamentals of electromagnetic (EM) imaging at mm-wave band to enhance the content capacity of Chipless RFID systems. The EM Imaging through Synthetic Aperture Radar (SAR) technique is used for data extraction. The second section presents a few smart tag detection techniques for existing chipless RFID systems. A Multiple-Input and Multiple-Output (MIMO) based tag detection technique improves the spectral efficiency and increases data bit capacity. The book concludes with a discussion of how the MIMO approach can be combined with the image based technique to introduce a complete solution with a fast imaging approach to chipless RFID systems. The book has the following salient features: <ul> <li>Discusses new approaches to chipless RFID tags such as EM imaging, high capacity data encoding, and robust tag detection techniques</li> <li>Presents techniques to enhance data content capacity of tags and reliable tag detection for the readers at unlicensed microwave and mm-wave 2.45, 24 and 60 GHz instrumentation, scientific and medical (ISM) frequency bands</li> <li>Includes case studies of real-world applications</li> </ul>

Inhaltsverzeichnis

Preface xi Acknowledgment xv PART I EM IMAGE-BASED CHIPLESS RFID SYSTEM 1 1 Introduction 3 1.1 Barcodes as Identification Technology 4 1.2 RFID Systems 6 1.3 Barcodes Versus RFID 7 1.4 Chipless RFID Tag for Low-Cost Item Tagging 7 1.5 Chipless RFID Systems 10 1.6 Spatial-Based Chipless RFID System 16 1.7 Book Outline 17 References 20 2 EM Imaging 25 2.1 EM-Imaging Fundamentals 25 2.2 Range Resolution 27 2.3 Cross-Range or Azimuth Resolution 29 2.4 Synthetic Aperture Radar (SAR) Necessity 31 2.5 EM Imaging for Content Coding 34 2.6 Conclusions 35 References 36 3 Tiny Polarizers Secret of the New Technique 37 3.1 Introduction 37 3.2 Sweetness of Diffraction 39 3.3 Strip-Line Polarizer 43 3.4 Meander-Line Polarizer 45 3.5 Multiple Polarizers 47 3.6 Polarizer Fabrication 50 3.7 Conclusions 52 References 53 4 Attributes of EM Polarizers 55 4.1 Introduction 55 4.2 Suggested Structures as Effective EM Polarizers 56 4.3 Cross-Polar Working Basis 59 4.4 Effect of Highly Reflective Items 64 4.5 Secure Identification 68 4.6 Bending Effect on Tag Performance 71 4.7 Conclusion 74 References 76 5 System Technical Aspects 77 5.1 Introduction 77 5.2 The mm-Band of 60 GHz 77 5.3 Reader Antenna 81 5.4 Conclusions 106 References 107 6 SAR-Based Signal Processing 111 6.1 Introduction 111 6.2 SAR Modes of Operation 112 6.3 SAR Block Diagram 113 6.4 SAR-Based Signal Processing 113 6.5 Tag Imaging Results 116 6.6 System Downsides 125 6.7 Conclusions 128 References 129 7 Fast Imaging Through MIMO-SAR 131 7.1 Introduction 131 7.2 Conventional Phased Array Antenna 132 7.3 MIMO-SAR Systems 133 7.4 Optimization 143 7.5 MIMO-SAR Results 155 7.6 Conclusion 158 References 159 PART II ADVANCED TAG DETECTION TECHNIQUES FOR CHIPLESS RFID SYSTEMS 161 8 Introduction 163 8.1 RFID Systems 163 8.2 Review of Chipless RFID Tag Detection Techniques 167 8.3 Maximum Likelihood Detection Techniques 168 8.4 Conclusions 170 References 170 9 Chipless RFID Tag Design 177 9.1 Introduction 177 9.2 SISO Tag Design 177 9.3 MIMO Tag Design 179 9.4 Conclusions 188 References 188 10 ML Detection Techniques for SISO Chipless RFID Tags 189 10.1 Introduction 189 10.2 System Models–Time Domain 190 10.3 System Models–Frequency Domain 200 10.4 Simulations 205 10.5 Experimental Setup 207 10.6 Results 208 10.7 Conclusion 230 References 230 11 Computationally Feasible Tag Detection Techniques 233 11.1 Introduction 233 11.2 Bit-By-Bit Detection Method 234 11.3 Trellis-Tree-Based Viterbi Decoding 237 11.4 Simulation Setup 242 11.5 Results 244 11.6 Conclusions 246 References 246 12 Signal Processing for MIMO-Based Chipless RFID Systems 247 12.1 Introduction 247 12.2 MIMO Decomposing Techniques 249 12.3 Tag Detection in MIMO 251 12.4 Experimental Setup 253 12.5 Simulations 254 12.6 Results 258 12.7 Conclusion 268 Reference 268 13 Conclusion for Part II 269 13.1 Summary of The Proposed Techniques in Part II 269 13.2 Limitations of The Proposed System 271 13.3 Potential Applications 272 13.4 Future Work and Open Issues 273 Reference 274 Index 275

Autorenportrait

Nemai Chandra Karmakar, PhD, is the lead researcher at the Monash Microwave, Antenna, RFID and Sensor Laboratory (MMARS) at Monash University, Australia. He received his PhD in ITEE from the University of Queensland, Australia, in February 1999. Dr. Karmakar is a pioneer in fully printable Chipless RFID tags and sensors, readers, signal processing, and smart antennas. He has published more than 350 scientific journal and conference articles, 9 books, 35 book chapters, and 9 patent applications. Mohammad Zomorrodi, PhD, is a R&D engineer at RFS, Melbourne, Australia. Dr. Zomorrodi has served as a lecturer at various universities in Iran for more than 6 years. Hereceived his PhD at the Electrical and Computer Systems Engineering Department of Monash University in 2015. He has written several conference papers, journal articles and has worked on two books in the field. Chamath Divarathne, PhD, is a design engineer at Unico Computer Systems Pty Ltd, Melbourne, Australia. Dr. Divarathnereceived his PhDat the Electrical and Computer Systems Engineering Department of Monash University in 2015. He is an alumni of Carnegie Mellon University from which he received his MSc in Information Networking.