• DocumentCode
    567575
  • Title

    A two-step multi-frame detection procedure for radar systems

  • Author

    Grossi, Emanuele ; Venturino, Luca ; Lops, Marco

  • Author_Institution
    DIEI, Univ. degli Studi di Cassino e del Lazio Meridionale, Cassino, Italy
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    1196
  • Lastpage
    1201
  • Abstract
    In this paper we present a novel scheme for multiframe target detection in radar systems. The proposed architecture consists of a pre-processing stage, which extracts a set of candidate alarms (or plots) from the raw data measurements, and a multi-frame detector, which jointly elaborates observations from multiple scans, so as to exploit the space-time correlation in the pre-processed data, and confirms only reliable plots. A computationally efficient algorithm is derived, which accounts for the inherently sparse nature of the lists of candidate plots and resolve possible data association problems due to the presence of multiple targets. A thorough complexity and performance analysis is given.
  • Keywords
    object detection; radar detection; complexity analysis; computational efficient algorithm; data association problems; multiframe target detection; preprocessing stage; radar systems; raw data measurements; space-time correlation; two-step multiframe detection procedure; Algorithm design and analysis; Detectors; Radar detection; Radar tracking; Target tracking; Trajectory; Track-before-detect (TBD); data association; multi-frame radar detection; sparse data measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6289944