• DocumentCode
    2387899
  • Title

    A compressed sensing radar detection scheme for closing vehicle detection

  • Author

    Sun, Xuan ; Zhou, Zheng ; Zhao, Chenglin ; Zou, Weixia

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    6371
  • Lastpage
    6375
  • Abstract
    A compressed sensing radar detection scheme for closing vehicle detection is proposed in this paper. Because most of the man-made signals are cyclostationary, the cyclic autocorrelation domain of the target return signal is sparse. The compressed sensing radar detection scheme in this paper is designed based on the sparsity of the cyclic autocorrelation of the target return signal. From the measurements based on the compressed sensing of the cyclic autocorrelation, the actual cyclic autocorrelation of the signal can be reconstructed. From the simulation, the dissertation can be made that a very simple OMP algorithm can get a high probability of detection.
  • Keywords
    radar detection; radar signal processing; road vehicle radar; signal reconstruction; OMP algorithm; closing vehicle detection; compressed sensing radar detection scheme; cyclic autocorrelation domain; cyclostationary; high probability; man-made signals; Compressed sensing; Correlation; Matching pursuit algorithms; Radar detection; Signal to noise ratio; Sparse matrices; OMP; compressed sensing radar detection; cyclostationary; sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364925
  • Filename
    6364925