A 65nm CMOS low power impulse radar for respiratory feature extraction

Shao Ting Tseng, Yu Hsien Kao, Chun Chieh Peng, Jinn Yann Liu, Shao Chang Chu, Guo Feng Hong, Chi Hsuan Hsieh, Kung Tuo Hsu, Wen-Te Liu, Yuan Hao Huang, Shi Yu Huang, Ta Shun Chu

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

4 Citations (Scopus)


This paper presents a wireless sensor system for monitoring human respiratory activities. The sensor is composed of a fully-integrated CMOS impulse radar chip and a DSP platform that is used for human respiratory feature extraction. The proposed and implemented radar chip was fabricated using in the TSMC 65nm CMOS technology. It can achieve the 1.5mm scanning resolution over the 15m scanning range with total 21mW power consumption. Moreover, the timing circuitry supporting range gated sensing and the pulse generator are all digital standard cell-based design which is very favorable to the technology scaling. The real-time DSP platform captures the wireless data via the CMOS radar chip and processes that through a human respiratory feature extraction algorithm. The entire system can fully operate to validate the performance of the wireless sensor system. Furthermore, the clinical trial was carried on and the system was proved helpful in rapid screen for respiratory diseases.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
EditorsDomine Leenaerts
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479976416
Publication statusPublished - Nov 25 2015
EventIEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015 - Phoenix, United States
Duration: May 17 2015May 19 2015

Publication series

NameDigest of Papers - IEEE Radio Frequency Integrated Circuits Symposium
ISSN (Print)1529-2517


OtherIEEE Radio Frequency Integrated Circuits Symposium, RFIC 2015
Country/TerritoryUnited States


  • CMOS
  • DSP
  • human respiratory feature extraction algorithm
  • impulse radar
  • wireless sensor

ASJC Scopus subject areas

  • General Engineering


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