Earthquake survivor detection using life signals from radar micro-doppler

Research output: Contribution to conferencePaper

11 Scopus citations

Abstract

Detection of human activity behind barriers such as walls and debris is a topic of relevance for earthquake survivor detection. The preferred sensors are radars since they have the ability to penetrate deep through dielectric barriers. Doppler radars are used to recognize signs of life by recognizing micro-Doppler signatures of human activity, such as arm swinging, breathing, and torso bending. Such movements induce different types of Doppler spectra depending on the manner in which limbs and other body parts move, which can be analyzed by several well-known time-frequency approaches, including the recently-developed empirical mode decomposition (EMD) analysis. We have developed simple models to characterize the above activities, and analyzed the Doppler signals induced using EMD. A comparison of these simulated results with actual measured data using a millimeter-wave CW radar system shows good agreement.

Original languageEnglish (US)
Pages259-265
Number of pages7
DOIs
StatePublished - Dec 1 2011
Event1st International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011 - Amritapuri, India
Duration: Dec 18 2011Dec 21 2011

Other

Other1st International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011
CountryIndia
CityAmritapuri
Period12/18/1112/21/11

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Narayanan, R. M. (2011). Earthquake survivor detection using life signals from radar micro-doppler. 259-265. Paper presented at 1st International Conference on Wireless Technologies for Humanitarian Relief, ACWR 2011, Amritapuri, India. https://doi.org/10.1145/2185216.2185288