• DocumentCode
    2386831
  • Title

    Development and evaluation of a multistatic ultrawideband random noise radar network

  • Author

    Nelms, Matthew E. ; Collins, Peter J.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    1068
  • Lastpage
    1073
  • Abstract
    The AFIT noise network (NoNET) is an experimental multistatic ultrawideband random noise radar designed to produce highly accurate, highly resolved imagery of a target scene while maintaining a simple design and low probability of intercept posture. This paper covers the radar node design and processing of the bistatic channel information from a cluster of widely distributed noise radar nodes. Design and integration of a distributed and central signal and data processing architecture enables the matlab-driven signal data acquisition, digital processing and multi-sensor image fusion. Experimental evaluation of the monostatic localization performance reveals its range measurement error standard deviation is 4.8 cm with a range resolution of 87.2(±5.9) cm. AFIT´s RCS range provides a clutter free joint coverage area for single and multi-target scenarios for assessing the 16-channel multistatic solution. The average multistatic localization error is assessed as 7.7(±3.1) cm and a comparative analysis is performed against the netted monostatic solution.
  • Keywords
    data acquisition; image fusion; radar imaging; 16-channel multistatic solution; AFIT noise network; NoNET; bistatic channel information; clutter free coverage area; data processing; digital processing; matlab-driven signal data acquisition; multisensor image fusion; multistatic localization error; multistatic ultrawideband random noise radar network; radar node design; radar node processing; Accuracy; Delay effects; Measurement uncertainty; Noise; Radar imaging; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2011 IEEE
  • Conference_Location
    Kansas City, MO
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-8901-5
  • Type

    conf

  • DOI
    10.1109/RADAR.2011.5960699
  • Filename
    5960699