• DocumentCode
    714947
  • Title

    Joint-sparse estimation of migration targets with velocity ambiguity

  • Author

    Ming Fang ; Fengzhou Dai ; Hongwei Liu ; Xiaomo Wang

  • Author_Institution
    Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Firstpage
    1202
  • Lastpage
    1205
  • Abstract
    Range migration is the basic and troublesome problem in moving target detection for wideband radar. In this paper, we propose a joint-sparse estimation algorithm that gives a sparse representation of migration targets with velocity ambiguity. The proposed algorithm utilizes a non-ambiguous representation of the wideband signals to alleviate the velocity ambiguity, then the estimation of the targets scenario is achieved by joint-sparse recovery. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm in case of a multi-target scenario.
  • Keywords
    numerical analysis; radar detection; radar tracking; target tracking; joint sparse estimation; joint sparse recovery; migration targets; range migration; sparse representation; target detection; target estimation; velocity ambiguity; wideband radar; Bayes methods; Doppler effect; Estimation; Logic gates; Radar; Signal processing algorithms; Wideband; joint-sparse recovery; range migration; target detection; wideband radar;
  • 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.2015.7131177
  • Filename
    7131177