Concurrent backscatter streaming with batteryless sensors for wireless motion capture applications

Jin Mitsugi, Yuusuke Kawakita, Haruhisa Ichikawa

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

Abstract

This paper reports the experimental verification of concurrent backscatter streaming system comprising batteryless backscatter sensors and a software defined interrogator. The backscatter sensor is composed of a newly developed Radio Frequency Integrated Circuit (RFIC) and a commodity three axis microelectro mechanical system (MEMS) accelerometer. The concurrency is realized by allocating a dedicated subcarrier to each backscatter sensor, and using novel interference rejection signal processing in the interrogator. The communication protocol bases on ISO/IEC 18000-63 protocol with the extension of channel allocation and streaming control. The prototype system is evaluated in an experiment in where three backscatter sensors are installed on three emulated robotic mechanisms for wireless motion capture. It is confirmed that over-the-air subcarrier allocation and the concurrent capture of three robotic mechanism accelerations can be done despite the 10-4 order frequency instability of RFICs.

Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728189642
DOIs
Publication statusPublished - 2021 Apr
Event93rd IEEE Vehicular Technology Conference, VTC 2021-Spring - Virtual, Online
Duration: 2021 Apr 252021 Apr 28

Publication series

NameIEEE Vehicular Technology Conference
Volume2021-April
ISSN (Print)1550-2252

Conference

Conference93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
CityVirtual, Online
Period21/4/2521/4/28

Keywords

  • Data Streaming
  • Gen2 protocol
  • motion capture
  • Passive Backscatter
  • RFIC

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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