• DocumentCode
    148669
  • Title

    Novel radar signal models using nonlinear frequency modulation

  • Author

    Alphonse, Sebastian ; Williamson, Geoffrey A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    1024
  • Lastpage
    1028
  • Abstract
    Two new radar signal models using nonlinear frequency modulation are proposed and investigated with respect to enhancing the target´s range estimation and reducing the sidelobe level. The performance of the proposed signal models is compared to the currently popular linear and nonlinear frequency modulation signal models. The Cramer Rao Lower Bound along with main lobe width and the peak to sidelobe ratio are used for comparing the signal models to show that better range accuracy and smaller sidelobes can be achieved with the proposed signal models.
  • Keywords
    FM radar; matched filters; radar signal processing; Cramer Rao lower bound; NLFM signals; matched filter; nonlinear frequency modulation signal model; radar signal models; sidelobe level; target range estimation; Bandwidth; Brain models; Computational modeling; Frequency modulation; Radar; Time-frequency analysis; CRLB; NLFM; PSLR; frequency modulation; matched filter; radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952344