• DocumentCode
    1854067
  • Title

    A new method for beat signal denoising in LFMCW systems

  • Author

    Wang Zhenghao ; Pan Xi ; Xiang Chenyong

  • Author_Institution
    Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1967
  • Lastpage
    1970
  • Abstract
    The performance of the high range resolution algorithm newly proposed for the linear frequency modulated continuous wave (LFMCW) radar deteriorates sharply at low signal-to-noise ratio (SNR). The denoising performance of the band pass filter is limited by the variation of the distance between the target and the radar. This study presents a denoising method called the harmonics extraction denoising method using the spectral properties of the beat signal. The zero-padded FFT is taken as the ranging method to examine the performance of the method in the Monte Carlo simulation. The results show that the method can improve the performance of the high range resolution algorithm at low SNR and its denoising performance will not be effected by the variation of the distance between the target and the radar.
  • Keywords
    CW radar; FM radar; Monte Carlo methods; band-pass filters; fast Fourier transforms; radar resolution; signal denoising; spectral analysis; LFMCW radar; LFMCW system; Monte Carlo simulation; SNR; band pass filter; beat signal denoising; denoising performance; harmonics extraction denoising method; high range resolution algorithm; linear frequency modulated continuous wave radar; ranging method; signal-to-noise ratio; spectral properties; target-radar distance; zero-padded FFT; denoising; frequency-modulated continuous wave; harmonics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491965
  • Filename
    6491965