• DocumentCode
    2940685
  • Title

    Systolic architectures for radar CFAR detectors

  • Author

    Hwang, Jenq-Neng ; Ritcey, James

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • fYear
    1990
  • fDate
    3-6 Apr 1990
  • Firstpage
    1025
  • Abstract
    Radar constant false alarm rate (CFAR) detectors, which are adaptive threshold detectors used to compensate for unknown noise environments, are discussed. Although the signal processing theory for CFAR detection is advanced, applications lag because of the high throughput required in radar. This intensive computational requirement (a data rate of at least 20 MHz for most search radars) cannot be met only by further advances in VLSI technology; parallel processing techniques are also needed. The feasibility of array processors based on VLSI technology enables the processing speed to increase by several orders of magnitude. One special-purpose VLSI architecture is the systolic array, which boasts massive concurrency. The concurrency in systolic arrays is derived from pipelined or parallel processing, and possibly both. Systolic array architectures are proposed for several important CFAR detectors
  • Keywords
    VLSI; computerised signal processing; radar equipment; signal detection; systolic arrays; 20 MHz; VLSI architecture; VLSI technology; adaptive threshold detectors; array processors; constant false alarm rate; data rate; noise environments; parallel processing; pipelined processing; processing speed; radar CFAR detectors; search radars; signal processing; systolic architectures; systolic array; Adaptive signal processing; Computer architecture; Concurrent computing; Detectors; Parallel processing; Radar detection; Radar signal processing; Systolic arrays; Very large scale integration; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
  • Conference_Location
    Albuquerque, NM
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1990.116069
  • Filename
    116069