• DocumentCode
    51151
  • Title

    Adaptive Transmit and Receive Beamforming for Interference Mitigation

  • Author

    Zhu Chen ; Hongbin Li ; Guolong Cui ; Rangaswamy, Muralidhar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    21
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    235
  • Lastpage
    239
  • Abstract
    We consider adaptive transmit and receive beampattern design for array radar systems. While adaptive processing is primarily employed for only receive beamforming in conventional design, we propose a fully adaptive approach involving jointly selecting the transmit correlation matrix and receive beamformer by maximizing the signal-to-interference-plus-noise ratio (SINR). The motivation of utilizing adaptive processing at the transmitter is that with imprecise knowledge of the interference (e.g., due to limited training data), only relying on adaptive receive beamforming may be inadequate for effective interference cancellation, whereas joint adaptive transmit and receive beamforming can afford a stronger ability to handle the interference. Simulations are provided to demonstrate the performance of the proposed joint beamforming approach.
  • Keywords
    adaptive signal processing; array signal processing; correlation methods; interference suppression; radar signal processing; adaptive processing; adaptive receive beamforming; adaptive transmit beamforming; array radar system; interference mitigation; joint beamforming; receive beamformer; transmit correlation matrix; Array signal processing; Correlation; Covariance matrices; Interference; Radar; Signal to noise ratio; Training data; Adaptive processing; interference cancellation; receive beamforming; transmit beamforming;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2298497
  • Filename
    6704720