• DocumentCode
    2811245
  • Title

    The role of the ambiguity function in compressed sensing radar

  • Author

    Song, Xiufeng ; Zhou, Shengli ; Willett, Peter

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Connecticut, Storrs, CT, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2758
  • Lastpage
    2761
  • Abstract
    As is clear from the ambiguity function (AF) uncertainty principle and the underlying matched filtering operation, pulse compression (PC) radars cannot accurately and simultaneously measure both the time delay and Doppler shift of moving targets. On the other hand, compressed sensing (CS) radar would seem to be emerging as a means to do just that, jointly to estimate the delay and Doppler shift, through convex optimization instead of matched filtering, such that PC resolution limits no longer apply. However, it turns out that the AF is closely related to the CS “dictionary coherence coefficient,” which affects the optimization recoverability. In this paper we formalize this relationship.
  • Keywords
    Doppler radar; matched filters; pulse compression; ambiguity function; compressed sensing radar; matched filtering operation; pulse compression radars; Compressed sensing; Delay estimation; Doppler radar; Doppler shift; Filtering; Matched filters; Pulse compression methods; Pulse measurements; Radar measurements; Time measurement; Radar; ambiguity function; compressed sensing; pulse compression; time-frequency (circular) shift dictionary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496221
  • Filename
    5496221