• DocumentCode
    231439
  • Title

    Parameters selection of FBLMS algorithm for noise FM-CW radar

  • Author

    Yuping Zhang ; Meiguo Gao ; Jiabin Liu ; Yunjie Li

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    215
  • Lastpage
    220
  • Abstract
    The direct wave and clutter wave cancellation is a key procedure for noise FM-CW (frequency-modulated continuous-wave) radar. Frequency-domain Block LMS (FBLMS) adaptive filters have better performance of clutter (include the direct wave) cancellation in low computational complex. In practical system, however, the chosen of step-size and the tap length of FBLMS are extremely important for the subsequent target detection. Although, the step-size bounds of FBLMS have been derived and presented by different expressions, the drawbacks of them as follows: on the one hand, the step-size bound are usually complex expressions including eigenvalues which are related with the covariance matrix of the input signal, it has high computational complexity to calculate the step-size; on the other hand, the relationship between step-size bound, the tap length of FBLMS and clutter attenuation (CA) has been not discussed comprehensively. To address above-mentions, in this paper, the step-size bound is re-derived based on Feuer´s work. Furthermore, the relationship between the step-size, the tap length and CA is elaborated, it shows that the CA is dominated by the tap length of FBLMS, once the tap length is not less than the number of clutter path, the CA will be decreased as the step-size increases. In addition, the relationship is intuitively shown by three-dimensional plot. Numerical results show that the parameters selection of FBLMS is beneficial to implement in the system of noise FM-CW radar.
  • Keywords
    CW radar; FM radar; computational complexity; covariance matrices; eigenvalues and eigenfunctions; frequency-domain analysis; interference suppression; least mean squares methods; object detection; radar clutter; radar detection; radar signal processing; CA; FBLMS adaptive filter; FBLMS parameter selection; FBLMS step-size bound; FBLMS tap length; Feuer work; clutter attenuation; clutter wave cancellation; covariance matrix; direct wave cancellation; eigenvalue expression; frequency modulated continuous wave radar; frequency-domain block LMS adaptive filter; high computational complexity; low computational complexity; noise FMCW radar; subsequent target detection; Abstracts; Clutter; Radar; FBLMS algorithm; clutter cancellation; noise FM-CW radar; parameters selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015000
  • Filename
    7015000