Distortion analysis of continuous-wave radar sensor for complete respiration pattern monitoring

Changzhan Gu, Changzhi Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Continuous-wave (CW) radar sensor has been used for monitoring physiological signals of respiration and heartbeat. Complete respiration pattern monitoring is of vital importance in motion-adaptive cancer radiotherapy which strictly relies on the respiration pattern to generate gating signals and track the tumor motion. However, the conventional AC-coupled radar sensor is subject to signal distortion due to the harmonics generated by nonlinear phase modulation. The distortion problem was often overlooked in the past but it may lead to false demodulation. In this paper, a DC-coupled architecture has been analyzed for complete respiration pattern monitoring. The DC-coupled approach allows the radar sensor to precisely measure movement with stationary moment, while the AC-coupled radar sensor is incapable of doing so. This paper further analyzes the distortion problem in AC-coupled radar sensor and demonstrates that the distortion comes from the loss of harmonic characteristics as the signal goes through the AC-coupled receiver chain. Both analysis and experiments show that the distortion decreases as the target frequency increases. It is shown that distortion-free measurement using AC-coupled radar sensor is also possible based on careful choice of the component parameters, but it results in tradeoffs with settling time, hardware cost, etc.

Original languageEnglish
Title of host publicationBioWireleSS 2013 - Proceedings
Subtitle of host publication2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems - 2013 IEEE Radio and Wireless Week, RWW 2013
PublisherIEEE Computer Society
Pages7-9
Number of pages3
ISBN (Print)9781467329309
DOIs
StatePublished - 2013
Event2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2013 - 2013 7th IEEE Radio and Wireless Week, RWW 2013 - Austin, TX, United States
Duration: Jan 20 2013Jan 23 2013

Publication series

NameBioWireleSS 2013 - Proceedings: 2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems - 2013 IEEE Radio and Wireless Week, RWW 2013

Conference

Conference2013 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, BioWireleSS 2013 - 2013 7th IEEE Radio and Wireless Week, RWW 2013
Country/TerritoryUnited States
CityAustin, TX
Period01/20/1301/23/13

Keywords

  • Radar
  • motion-adaptive radiotherapy
  • physiological pattern monitoring
  • respiration

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