Vital Sign Detection and Radar Self-Motion Cancellation through Clutter Identification

Emanuele Cardillo, Changzhi Li, Alina Caddemi

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


This article presents a novel technique to remove the radar self-motion effects (RSMs) for an accurate detection of human vital signs. As opposed to the commonly used techniques, the proposed approach does not require any additional sensor, and instead, it extracts the RSM from the signals reflected by stationary clutters. Since the proposed technique requires to accurately identify the clutter range, two procedures for its automatic identification are proposed, aimed to detect both small and large radar motions. Besides allowing precise and reliable vital sign detection, it provides a compact, lightweight, comfortable, and cost-effective solution since potentially intrusive additional sensors are not required. Simulations have been carried out for validating the proposed approach, with an insight on the influence of different clutter radar cross sections on the sensitivity. Moreover, the effectiveness of the RSM cancellation has been experimentally demonstrated, showing its suitability for different applications, e.g., radar on moving platforms, vibrating tools, handheld devices, unmanned aerial vehicles, and cars.

Original languageEnglish
Article number9329107
Pages (from-to)1932-1942
Number of pages11
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number3
StatePublished - Mar 2021


  • Contactless sensor
  • ego motion
  • frequency-modulated continuous-wave (FMCW) radar
  • interferometry radar
  • radar self-motion (RSM) cancellation
  • range micro-Doppler
  • vital sign detection


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