• DocumentCode
    1729322
  • Title

    Range-time-frequency representation of a pulse Doppler radar imaging system for indoor localization and classification

  • Author

    Yazhou Wang ; Fathy, Aly E.

  • Author_Institution
    Boston Design Center, RF Micro Devices, Inc., Billerica, MA, USA
  • fYear
    2013
  • Firstpage
    34
  • Lastpage
    36
  • Abstract
    Pulse Doppler radars using UWB technology are becoming very popular for their wide range of capabilities and applications. UWB waveforms are used for imaging in indoor environments, target localization and classification behind walls, and evaluating micro-Doppler signatures. Typically, CW and FMCW radars are used for measuring time Doppler frequency shifts and subsequently providing time-frequency signals. Meanwhile, UWB pulse Doppler radars provide range-time-frequency representation. This representation provides both highly accurate range and micro-Doppler information. This 3D representation (i.e. time, frequency, range) can be effectively used for detailed human gait analysis, tracking more than one object at a time even behind walls as UWB radars allow clutter removal and wall mitigation. This paper is an overview of such activities.
  • Keywords
    CW radar; Doppler radar; FM radar; radar imaging; time-frequency analysis; ultra wideband radar; FMCW radars; UWB pulse Doppler radars; UWB waveforms; clutter removal; human gait analysis; indoor localization; microDoppler signature; pulse Doppler radar imaging system; range-time-frequency representation; time Doppler frequency measurement; time-frequency signals; wall mitigation; Doppler effect; Doppler radar; Legged locomotion; Radar imaging; Radar tracking; Time-frequency analysis; Doppler radar; UWB; human gait analysis; see through walls;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Sensors and Sensor Networks (WiSNet), 2013 IEEE Topical Conference on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4673-3104-3
  • Electronic_ISBN
    978-1-4673-2931-6
  • Type

    conf

  • DOI
    10.1109/WiSNet.2013.6488625
  • Filename
    6488625