• DocumentCode
    1950977
  • Title

    Performance of multistatic space-time adaptive processing

  • Author

    Bruyère, Donald ; Goodman, Nathan A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    2006
  • fDate
    24-27 April 2006
  • Abstract
    In this paper, we analyze the benefits of using multiple airborne radar systems viewing a scene from different directions. The filter outputs from multiple radars employing space-time adaptive processing (STAP) are combined to increase signal-to-interference-plus-noise ratio (SINR) and detection performance. The performance improvement is analyzed by looking at the detection probability and the probability of false alarm of the combined system with and without bistatic components of the multistatic system. Performance is compared to a multi-radar system employing a decentralized method of detection. Sensitivity to training data availability for adaptive filtering is also considered.
  • Keywords
    adaptive filters; airborne radar; probability; radar detection; space-time adaptive processing; STAP; adaptive filtering; bistatic component; detection probability; false alarm probability; multiple airborne radar system; multistatic system; space-time adaptive processing; Adaptive filters; Adaptive signal detection; Airborne radar; Layout; Performance analysis; Radar detection; Radar signal processing; Signal processing; Signal to noise ratio; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006 IEEE Conference on
  • Print_ISBN
    0-7803-9496-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2006.1631851
  • Filename
    1631851