• DocumentCode
    1935222
  • Title

    Distributed RADAR waveform design based on compressive sensing considerations

  • Author

    Subotic, Nikola S. ; Thelen, Brian ; Cooper, Kyle ; Buller, William ; Parker, Jason ; Browning, James ; Beyer, Howard

  • Author_Institution
    Michigan Tech Res. Inst., Ann Arbor, MI
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we describe a joint waveform design methodology for distributed imaging RADARs using the concepts of compressive sensing. Compressive sensing is an active area of research that offers the promise of good object reconstruction with a sparse measurement set. The measurement set of the scene is based on a set of dasiaprobes,psila the radar waveforms. The set of measurements must satisfy the restricted isometry property and the scene being interrogated must be dasiacompressiblepsila meaning that it can be sparsely represented in some basis. We examine waveform and position considerations for a distributed radar system to satisfy these constraints and show their impact on waveform design and image reconstruction.
  • Keywords
    distributed sensors; image reconstruction; image sensors; radar imaging; sparse matrices; waveform analysis; compressive sensing; distributed radar waveform design; image reconstruction; object reconstruction; sparse matrix representation; sparse measurement set; Force sensors; Image reconstruction; Image sensors; Intelligent sensors; Layout; Radar detection; Radar imaging; Sensor arrays; Sensor phenomena and characterization; Transmitters; Compressive Sensing; Distributed RADAR; Waveform Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4721070
  • Filename
    4721070