• DocumentCode
    1968968
  • Title

    Radar signal bandwidth-scaling via parameters of a changed Lorenz chaotic system

  • Author

    Shaobin, Xie ; Lidong, Liu ; Jinfeng, Hu ; Anan, Wang ; Sheng, Xie

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    4874
  • Lastpage
    4877
  • Abstract
    This paper develops a changed Lorenz chaotic system (CLCS). We can scale the signal bandwidth exactly by scaling the parameters of the CLCS. The simulation results show that the new system also has nice radar characters such as its waveform has low peak-to-RMS ratio (PRMS), thumbtack shape ambiguity function, narrow main-lobe and low peak side-lobe autocorrelation function. When there is a strict requirement to the signal bandwidth, it doesn´t need to spend much time in finding out other suitable parameters but just scaling the known suitable parameters. This is an advantage comparing to the signal waveform generated by the original Lorenz chaotic system.
  • Keywords
    chaotic communication; radar signal processing; CLCS; PRMS; changed Lorenz chaotic system; low peak side-lobe autocorrelation function; narrow main-lobe autocorrelation function; peak-to-RMS ratio; radar signal bandwidth-scaling; thumbtack shape ambiguity function; Bandwidth; Chaotic communication; Correlation; Radar imaging; Shape; Lorenz map; Waveform design; ambiguity function; autocorrelation; peak-to-RMS ratio(PRMS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6056831
  • Filename
    6056831