• DocumentCode
    573971
  • Title

    Analysis on discrete FM chaos signal

  • Author

    Xiaojing, Zhang ; Min, He ; Zhiyi, He ; Hongyan, Su

  • Author_Institution
    Sci. & Technol. on Millimeter-wave Lab., Beijing Inst. of Remote-sensing Equip., Beijing, China
  • fYear
    2012
  • fDate
    27-30 May 2012
  • Firstpage
    595
  • Lastpage
    599
  • Abstract
    Bearing similarity to random noise, frequency-modulated chaos signal have advantages in terms of measure accuracy, target detection capability and electromagnetic compatibility. Besides, it´s easy to produce, duplicate and apply. On basis of mathematical modeling of discrete chaos mapping, this paper analyzes three types of frequency-modulated chaos signals. The Autocorrelation Function, Power Spectrum Density and Ambiguity Function of chaos signals are discussed. In comparison to Chirp signal, range resolution and Doppler frequency mismatch properties are studied respectively so as to investigate the feasibility of applying chaos signal in pulse compression radar system.
  • Keywords
    Doppler radar; FM radar; chaos; correlation methods; electromagnetic compatibility; object detection; pulse compression; radar detection; radar resolution; random noise; spectral analysis; Doppler frequency mismatch properties; autocorrelation function; chaos signal ambiguity function; chirp signal; discrete FM chaos signal; discrete chaos mapping; electromagnetic compatibility; frequency-modulated chaos signal; mathematical modeling; measure accuracy; power spectrum density; pulse compression radar system; random noise; range resolution; target detection capability; Chaos; Doppler effect; Frequency modulation; Noise; Radar imaging; Signal resolution; FM; chaos; discrete; noise; pulse compression; random;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Millimeter Waves (GSMM), 2012 5th Global Symposium on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1302-5
  • Type

    conf

  • DOI
    10.1109/GSMM.2012.6314409
  • Filename
    6314409