• DocumentCode
    1284637
  • Title

    Adaptive cell-averaging CFAR detection in distributed sensor networks

  • Author

    Barkat, Mourad ; Varshney, Pramod K.

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
  • Volume
    27
  • Issue
    3
  • fYear
    1991
  • fDate
    5/1/1991 12:00:00 AM
  • Firstpage
    424
  • Lastpage
    429
  • Abstract
    The problem of adaptive cell-averaging constant false-alarm rate (CFAR) detection is considered for two distributed sensor network topologies, namely the parallel and the tandem topologies. The compressed data transmitted amongst the detectors is assumed to be in the form of decisions. The overall systems are optimized to yield the maximum probability of detection for a fixed probability of false alarm. The performance of the systems is also analyzed
  • Keywords
    adaptive systems; network topology; probability; radar theory; signal detection; signal processing; CFAR detection; adaptive cell-averaging constant false-alarm rate; compressed data; decisions; distributed sensor networks; false alarm; fixed probability; maximum probability of detection; network topologies; optimised system; parallel topology; radar signal detection; tandem topologies; Background noise; Bandwidth; Circuit topology; Detectors; Intelligent networks; Network topology; Radar detection; Sensor systems; Signal processing; Testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.81424
  • Filename
    81424