Time-frequency spectral signature of limb movements and height estimation using micro-doppler millimeter-wave radar

Yael Balal, Nezah Balal, Yair Richter, Yosef Pinhasi

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

We present a technique for the identification of human and animal movement and height using a low power millimeter-wave radar. The detection was based on the transmission of a continuous wave and heterodyning the received signal reflected from the target to obtain micro-Doppler shifts associated with the target structure and motion. The algorithm enabled the extraction of target signatures from typical gestures and differentiated between humans, animals, and other ‘still’ objects. Analytical expressions were derived using a pendulum model to characterize the micro-Doppler frequency shifts due to the periodic motion of the human and animal limbs. The algorithm was demonstrated using millimeter-wave radar operating in the W-band. We employed a time–frequency distribution to analyze the detected signal and classify the type of targets.

Original languageEnglish
Article number4660
Pages (from-to)1-12
Number of pages12
JournalSensors
Volume20
Issue number17
DOIs
StatePublished - 1 Sep 2020

Keywords

  • Human catalog targets
  • Micro-Doppler radar
  • Millimeter-wave radar

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