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Adaptive spectrum scanning techniques for reducing the identification time of the frequency coded chipless RFID system
Author(s) -
ElAwamry Ahmed,
Khaliel Maher,
Fawky Abdelfattah,
Kaiser Thomas
Publication year - 2017
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3173
Subject(s) - chipless rfid , frequency hopping spread spectrum , radio frequency identification , testbed , latency (audio) , computer science , clutter , frequency offset , real time computing , radio spectrum , electronic engineering , embedded system , engineering , telecommunications , radar , orthogonal frequency division multiplexing , computer network , channel (broadcasting) , computer security
The main objective of this contribution is to introduce novel techniques for reducing the time taken from the reader to identify the frequency coded chipless radio frequency identification tags existed in the reader's interrogation region, system latency. The frequency scanning methodology, number of averaging for clutter removal, and hop duration are the 3 main parameters that significantly affect the overall system latency. Consequently, the adaptive frequency hopping (AFH) and adaptive sliding window (ASW) methodologies are proposed and proofed to be efficient for the chipless radio frequency identification systems from the latency and accuracy perspectives. Likewise, the performance of the designed AFH and ASW techniques are compared with the classical fixed frequency hopping methodology with a fine frequency step to validate the accuracy of the proposed methods. Moreover, 4 different coded frequency coded chipless tags are manufactured and used in the measurements. A real‐world testbed is designed including a software‐defined radio platform by which the proposed adaptive algorithms and traditional fixed frequency hopping methodology are implemented. All the measurements are performed in an indoor realized scenario, including the environmental effects. The experiments show that the proposed AFH combined with ASW algorithms significantly reduce the system latency by 58 % .