• DocumentCode
    573635
  • Title

    Study for generalized sidelobe canceller at subarray level based on Householder transformation

  • Author

    Hu Hang ; Gao Conghui ; Yu Xiaoyang

  • Author_Institution
    Sch. of Electron. & Inf. Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    27-30 May 2012
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    Adaptive digital beamforming(ADBF) at subarray level is one of crucial techniques for phased array radar. Generalized sidelobe canceller(GSLC) at subarray level is an effective solution in the presence of array imperfections such as amplitude and phase errors, while the key lies in appropriate blocking matrix(BM) to block desired signal and adaptive weights for suppressing jammers. While at subarray level, using conventional BM will degrade the performance of beam such as that notch deviates for phase errors and signal-to-interference-plus-noise ratio(SINR) loses. This paper presents an implementation for GSLC configuration at subarray level by utilizing Householder transformation to determine BM. Simulation results demonstrate that the proposed method can raise SINR obviously and is insensitive to channel errors even if to phase ones.
  • Keywords
    array signal processing; jamming; matrix algebra; radar signal processing; SINR; adaptive digital beamforming; blocking matrix; generalized sidelobe canceller; householder transformation; jammers; phase errors; phased array radar; signal-to-interference-plus-noise ratio; Array signal processing; Arrays; Interference; Jamming; Radar; Signal to noise ratio; Vectors; Adaptive digital beamforming; Householder transformation; generalized sidelobe canceller; linearly constrained minimum-variance; subarray level processing;
  • 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.2012.6314007
  • Filename
    6314007