Advanced Chipless Rfid: Mimo-Based Imaging at 60 Ghz - ML Detection (Hardcover)
暫譯: 進階無晶片 RFID:基於 MIMO 的 60 GHz 成像 - 機器學習檢測 (精裝版)

Karmakar, Nemai Chandra, Zomorrodi, Mohammad, Divarathne, Chamath

  • 出版商: Wiley
  • 出版日期: 2016-08-29
  • 售價: $1,600
  • 貴賓價: 9.5$1,520
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119227313
  • ISBN-13: 9781119227311
  • 相關分類: RFID
  • 下單後立即進貨 (約5~7天)

商品描述

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:

  • Discusses new approaches to chipless RFID tags such as EM imaging, high capacity data encoding, and robust tag detection techniques
  • 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
  • Includes case studies of real-world applications

商品描述(中文翻譯)

介紹高容量數據編碼和吞吐量改善技術,適用於完全可列印的多位元無晶片 RFID 標籤和讀取系統

本書提出了無晶片 RFID 標籤編碼和標籤檢測的新方法,這些方法在信號處理、標籤設計和讀取器架構方面超越了其前身。文本分為兩個主要部分:第一部分介紹毫米波段電磁(EM)成像的基本原理,以增強無晶片 RFID 系統的內容容量。使用合成孔徑雷達(SAR)技術進行數據提取。第二部分介紹了一些現有無晶片 RFID 系統的智能標籤檢測技術。一種基於多輸入多輸出(MIMO)的標籤檢測技術提高了頻譜效率並增加了數據位容量。本書最後討論了如何將 MIMO 方法與基於圖像的技術結合,以引入一種完整的解決方案,並以快速成像方法應用於無晶片 RFID 系統。本書具有以下顯著特點:


  • 討論無晶片 RFID 標籤的新方法,如電磁成像、高容量數據編碼和穩健的標籤檢測技術

  • 提出增強標籤數據內容容量和在未授權微波及毫米波 2.45、24 和 60 GHz 儀器、科學和醫療(ISM)頻段的可靠標籤檢測技術

  • 包括真實應用案例研究

作者簡介

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.

作者簡介(中文翻譯)

Nemai Chandra Karmakar博士是澳洲莫納什大學微波、天線、RFID和傳感器實驗室(MMARS)的首席研究員。他於1999年2月在澳洲昆士蘭大學獲得ITEE博士學位。Karmakar博士是完全可列印的無晶片RFID標籤和傳感器、讀取器、信號處理及智慧天線的先驅。他已發表超過350篇科學期刊和會議文章,9本書籍,35章書籍章節,以及9項專利申請。

Mohammad Zomorrodi博士是澳洲墨爾本RFS的研發工程師。Zomorrodi博士在伊朗的多所大學擔任講師超過6年。他於2015年在莫納什大學的電氣與計算機系獲得博士學位。他撰寫了幾篇會議論文和期刊文章,並在該領域工作過兩本書籍。

Chamath Divarathne博士是澳洲墨爾本Unico Computer Systems Pty Ltd的設計工程師。Divarathne博士於2015年在莫納什大學的電氣與計算機系獲得博士學位。他是卡內基梅隆大學的校友,並在該校獲得資訊網路碩士學位。