• DocumentCode
    2290011
  • Title

    Multi-cycle Integration of Weak Target Signals in LFMCW Radar

  • Author

    Hui, Xiao ; Weidong, Hu ; Wenxian, Yu

  • Author_Institution
    ATR Key Lab, Nat. Univ. of Defense Technol., Changsha
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a new way for integration and detection of weak signals with large Doppler frequency in linear frequency-modulated continuous wave (LFMCW) radar systems. With secondary mixing of up-sweep beat signal and down-sweep beat signal, the range-Doppler coupling can be resolved effectively, and a new signal with only Doppler frequency information is brought out. By two-dimensional FFT (fast Fourier transform), multi-cycle weak signals can be integrated to get high signal-to-noise ratio (SNR) for target detection and parameters estimation. Using peak detection, target velocity is estimated first. Motion compensation then follows according to the velocity estimated, and target range can be found out also through two-dimensional FFT. And performance analysis is carried out finally. The efficiency of the method is proved by the simulation results
  • Keywords
    CW radar; FM radar; fast Fourier transforms; motion compensation; parameter estimation; radar detection; LFMCW radar; down-sweep beat signal; fast Fourier transform; linear frequency-modulated continuous wave; motion compensation; multicycle signal integration; parameters estimation; peak detection; range-Doppler coupling; target signal detection; two-dimensional FFT; up-sweep beat signal; Doppler radar; Fast Fourier transforms; Frequency; Motion compensation; Object detection; Parameter estimation; Radar detection; Signal detection; Signal resolution; Signal to noise ratio; LFMCW radar; Large Doppler frequency; motion compensation; multi-cycle integration; secondary mixing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343574
  • Filename
    4148236