Multistatic micro-doppler radar for determining target orientation and activity classification

Dustin P. Fairchild, Ram Mohan Narayanan

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

Micro-Doppler radar signals can be used to separate moving human targets from stationary clutter and also to identify and classify human movements. Traditional micro-Doppler radar, which uses a single-sensor, monostatic system, suffers from the drawback that only the radial component of the micro-Doppler signal will be observed by the radar operator. This reduces the sensitivity of human-activity recognition if the movements are not directly toward or away from the line of sight to the radar antenna. In this paper, we propose overcoming this limitation through the use of a multistatic sensor, which consists of two bistatic micro-Doppler sensors. Through using multiple sensors, the orientation of oscillating targets with respect to the radar line of sight can be inferred, thereby providing additional information to the radar operator. In addition, we conclude that multiple sensors can enhance the classification of micro-Doppler signatures.

Original languageEnglish (US)
Article number7444065
Pages (from-to)512-521
Number of pages10
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume52
Issue number1
DOIs
StatePublished - Feb 1 2016

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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