• DocumentCode
    1036122
  • Title

    Optimal weight extraction for adaptive beamforming using systolic arrays

  • Author

    Tang, C.E.T. ; Liu, K.J.R. ; Tretter, S.A.

  • Author_Institution
    Computer Sci. Corp., Rockville, MD, USA
  • Volume
    30
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    367
  • Lastpage
    385
  • Abstract
    Systolic algorithms and architectures for parallel and fully pipelined instantaneous optimal weight extraction for multiple sidelobe canceller (MSC) and minimum variance distortionless response (MVDR) beamformer are presented The proposed systolic parallelogram array processors are parallel and fully pipelined, and they can extract the optimal weights instantaneously without the need for forward or backward substitution. We also show that the square-root-free Givens method can be easily incorporated to improve the throughput rate and speed up the system. As a result these MSC and MVDR systolic array weight extraction system are suitable for real-time very large scale integration (VLSI) implementation in practical radar/sonar system
  • Keywords
    VLSI; antenna phased arrays; array signal processing; estimation theory; least squares approximations; parallel algorithms; pipeline processing; systolic arrays; VLSI; adaptive beamforming; minimum variance distortionless response beamformer; multiple sidelobe canceller; optimal weight extraction; parallel processing; pipelined instantaneous optimal weight extraction; radar; real-time very large scale integration; sonar; speed; square-root-free Givens method; systolic algorithms; systolic architectures; systolic arrays; systolic parallelogram array processors; throughput rate; Adaptive arrays; Adaptive systems; Array signal processing; Concurrent computing; Data mining; Least squares methods; Resonance light scattering; Systolic arrays; Throughput; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.272261
  • Filename
    272261