An RF tag communication system model for noise radar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

RF (radio-frequency) tags have drawn increasing research interest because of their great potential uses in many radio frequency identification applications. They can also be configured to work with radar as a communication channel by receiving radar acquisition signals, suitably coding these, and retransmitting them back to the radar. This paper proposes a system model for the communication between a noise radar and multiple RF tags. The radar interrogates the RF tags in a region of interest by sending ultrawideband noise signals. Upon receiving the radar's signal, all the tags within the radar's range wake up, and respond to the radar with simple messages. The RF tag filters the radar signal to a unique spectral band, which represents its identification information, and different RF tags occupy different non-overlapping bands of the spectrum of the radar signal. Tag messages are modulated onto the waveform through taps of weighted delays. The radar decodes the RF tag identifications and corresponding messages by cross-correlating the RF tag returned signals with the replica of the radar transmitted signal. Calculations and simulation results both show that the proposed system is capable of communicating simple messages between RF tags and radar.

Original languageEnglish (US)
Title of host publicationWireless Sensing and Processing III
DOIs
StatePublished - 2008
EventWireless Sensing and Processing III - Orlando, FL, United States
Duration: Mar 17 2008Mar 18 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6980
ISSN (Print)0277-786X

Other

OtherWireless Sensing and Processing III
Country/TerritoryUnited States
CityOrlando, FL
Period3/17/083/18/08

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

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