• DocumentCode
    714938
  • Title

    High-resolution single-snapshot DOA estimation in MIMO radar with colocated antennas

  • Author

    Hassanien, Aboulnasr ; Amin, Moeness G. ; Zhang, Yimin D. ; Ahmad, Fauzia

  • Author_Institution
    Center for Adv. Commun., Villanova Univ.Villanova, Villanova, PA, USA
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Firstpage
    1134
  • Lastpage
    1138
  • Abstract
    In this paper, a high-resolution subspace-based method is proposed for single-snapshot direction-of-arrival (DOA) estimation in multiple-input multiple-output (MIMO) radar. First, a `principal´ weight vector is designed for transmit beamforming to achieve a desired transmit power distribution, e.g., to focus the transmit power within certain desired spatial sector(s), while minimizing the out-of-sector power. Then, the designed weight vector is used to generate a population of `companion´ weight vectors of the same size and having the same transmit power distribution as that of the principal weight vector. Multiple transmit beams are formed using the companion weight vectors where an orthogonal waveform is transmitted over each beam. Matched-filtering the received single-snapshot data to the orthogonal transmitted waveforms yields a number of virtual data snapshots equal to the number of orthogonal waveforms. By properly choosing the number of waveforms, the virtual data snapshots are guaranteed to yield a full-rank sample covariance matrix, which enables application of high-resolution DOA estimation techniques. Simulation results demonstrate that the proposed method provides DOA estimation performance superior to that of traditional MIMO radar based MUSIC, the conventional (Bartlett) beamformer, and the spheroidal sequences based beamformer.
  • Keywords
    MIMO radar; array signal processing; covariance matrices; direction-of-arrival estimation; matched filters; radar antennas; radar resolution; MIMO radar; colocated antennas; companion weight vectors; direction-of-arrival estimation; full-rank sample covariance matrix; high-resolution single-snapshot DOA estimation; matched-filtering; multiple transmit beams; multiple-input multiple-output radar; orthogonal waveform; out-of-sector power; principal weight vector; received single-snapshot data; resolution subspace-based method; spatial sector; spheroidal sequences based beamformer; transmit beamforming; transmit power distribution; virtual data snapshots; Covariance matrices; Direction-of-arrival estimation; Estimation; MIMO radar; Power distribution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131164
  • Filename
    7131164