• DocumentCode
    1781163
  • Title

    Sparse recovery and resolution of pulse-Doppler radar

  • Author

    Maud, Abdur Rahman M. ; Bell, M.R.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Abstract
    The resolution of a pulse Doppler radar using matched filter banks is known to be constrained by the radar uncertainty principle. Recently, it has been proposed that sparse recovery techniques [4], [5], [10], [14] can be used to achieve high resolution in point target environments. These techniques assume the time-frequency dictionary of the radar signal satisfies certain incoherence requirements. In this paper, we relate the incoherence requirement to the ambiguity function and show that the resolution of common sparse recovery algorithms is also constrained by the uncertainty principle. Furthermore, using recovery bounds in [13], it is shown that even radar signals not meeting the incoherence requirement can be used for reconstructing certain target scenes. This is used to define a resolution plot for comparing the resolution of sparse recovery algorithms with different transmit signals.
  • Keywords
    Doppler radar; channel bank filters; matched filters; radar signal processing; matched filter banks; point target environments; pulse-Doppler radar; radar signal; radar uncertainty principle; sparse recovery algorithms; sparse recovery techniques; sparse resolution; time-frequency dictionary; transmit signals; Chirp; Compressed sensing; Dictionaries; Doppler radar; Matching pursuit algorithms; Signal resolution; Pulse Doppler radar; ambiguity function; resolution; sparse recovery;
  • 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.2014.6875704
  • Filename
    6875704