• DocumentCode
    3731807
  • Title

    Experiments with cognitive radar

  • Author

    Graeme E. Smith;Zach Cammenga;Adam Mitchell;Kristine L. Bell;Murali Rangaswamy;Joel T. Johnson;Christopher J. Baker

  • Author_Institution
    The Ohio State University, Columbus, USA
  • fYear
    2015
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    This paper presents experimental results from a cognitive radar system. In the cognitive approach used, radar parameters are constantly self-monitored and self-adjusted so that radar performance remains at a level specified by the user. This is in stark contrast to traditional radar where parameters are fixed and the performance varies according to the encountered scenario. The experiments were conducted with a specially designed system, the “Cognitive Radar Experimental Workspace” or “CREW”. The CREW was designed so that it can incorporate cognitive processing concepts that require adaptive feedback, memory generation, and memory exploitation. These operations can be accomplished at pulse repetition frequencies (PRFs) of up to 30 kHz, enabling real-time time adaptation. The experiment results demonstrate that a cognitive approach can improve radar performance, evaluated through tracking error, over and above that achievable with a conventional fixed parameter radar system. Although the demonstration provided is based upon a tracking example, the lessons learned apply across a wide range of radar applications.
  • Keywords
    "Radar tracking","Signal to noise ratio","Target tracking","Interference","Doppler effect"
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE 6th International Workshop on
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2015.7383794
  • Filename
    7383794