• DocumentCode
    11569
  • Title

    Strong Echo Cancellation Based on Adaptive Block Notch Filter in Passive Radar

  • Author

    Xin Guan ; Dong-hui Hu ; Li-hua Zhong ; Chi-biao Ding

  • Author_Institution
    Key Lab. of Technol. in Geo-spatial Inf. Process. & Applic. Syst., Inst. of Electron., Beijing, China
  • Volume
    12
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    339
  • Lastpage
    343
  • Abstract
    In passive radar, the waveform is not controlled by the system, so strong echoes usually produce high sidelobes in the correlation function. Since the sidelobes can mask the weak targets, strong echo cancellation methods are required. The generalized adaptive notch filter (GANF) is an efficient method compared with the extensive cancellation algorithm. However, the GANF estimates different frequencies separately (in parallel or series), and a point-by-point iterative operation is adopted, which leads to heavy computational burden. This letter presents a multifrequency estimation notch filter which is a simplified GANF based on the signal model. Furthermore, an adaptive block notch filter is proposed to reduce the processing time. The efficiency of the block notch filter is verified by simulations.
  • Keywords
    adaptive filters; correlation methods; echo suppression; filtering theory; frequency estimation; notch filters; passive radar; radar signal processing; GANF; adaptive block notch filter; correlation function; generalized adaptive notch filter; multifrequency estimation notch filter; passive radar; processing time reduction; signal model; strong echo cancellation method; Clutter; Doppler effect; Echo cancellers; Estimation; Frequency estimation; Least squares approximations; Passive radar; Block notch filter; passive radar; strong echo cancellation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2339826
  • Filename
    6871353