• DocumentCode
    2948140
  • Title

    Resolution improvement for UWB wallscanning radar applications

  • Author

    Hantscher, Sebastian ; Diskus, Christian G.

  • Author_Institution
    Johannes Kepler University Linz, Institute for Microelectronics and Microsensors, 4040, Austria
  • fYear
    2008
  • fDate
    15-20 June 2008
  • Firstpage
    1163
  • Lastpage
    1166
  • Abstract
    An important quality criterion of radar systems is the maximum obtainable resolution. This limit is reached when echoes coming from adjacent objects overlap and it is no longer possible to distinguish between them. This paper presents an algorithm formulating the echo separation as an optimization algorithm. The basic idea is to model each received signal as a linear superposition of reference signals. The parameters of the model are obtained by using evolutionary optimization strategies. An example of imaging two pipes placed in a concrete wall verifies the proposed principle experimentally.
  • Keywords
    evolutionary computation; radar applications; radar resolution; radar signal processing; ultra wideband radar; echo separation; evolutionary optimization; linear superposition; resolution improvement; ultra wideband radar; wallscanning radar; Bandwidth; Concrete; High-resolution imaging; Mathematical model; Microwave imaging; Radar applications; Radar imaging; Reflection; Signal resolution; Ultra wideband radar; UWB radar; monopulse radar; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium Digest, 2008 IEEE MTT-S International
  • Conference_Location
    Atlanta, GA
  • ISSN
    0149-645X
  • Print_ISBN
    978-1-4244-1780-3
  • Electronic_ISBN
    0149-645X
  • Type

    conf

  • DOI
    10.1109/MWSYM.2008.4633264
  • Filename
    4633264