• DocumentCode
    1781347
  • Title

    Range and velocity estimation of radar targets by weighted OFDM modulation

  • Author

    Turlapaty, Anish ; Yuanwei Jin ; Yang Xu

  • Author_Institution
    Dept. of Eng. & Aviation Sci., Univ. of Maryland Eastern Shore, Princess Anne, MD, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    1358
  • Lastpage
    1362
  • Abstract
    In this paper, we address the problem of spectrum sharing and co-existence between radar and communications systems by using a reconfigurable dual-use radar/comm system on a single RF platform. We develop a nonlinear least-squares method for range and velocity estimation of moving targets using weighted orthogonal division multiplexing (WOFDM) waveform modulation scheme. The corresponding Cramer-Rao low bounds for the target parameter estimator are derived. Weighted OFDM waveform is derived subject to a low peak to average power ratio constraint. The proposed WOFDM modulation scheme shows improved accuracy for delay estimation compared with the classic constant envelope OFDM modulation method while achieving a lower peak to average power ratio.
  • Keywords
    OFDM modulation; delay estimation; distance measurement; least squares approximations; radar tracking; radio spectrum management; velocity measurement; Cramer-Rao low bounds; WOFDM waveform modulation scheme; coexistence; communications systems; delay estimation; nonlinear least-squares method; radar targets; range estimation; reconfigurable dual-use radar-comm system; single RF platform; spectrum sharing; target parameter estimator; velocity estimation; weighted OFDM waveform; weighted orthogonal frequency division multiplexing waveform modulation scheme; Doppler effect; Estimation; Modulation; Peak to average power ratio; Radar; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875811
  • Filename
    6875811