• DocumentCode
    1612026
  • Title

    Karhunen - Loeve Transformation in Radar Signal Features Processing

  • Author

    Kawalec, Adam ; Owczarek, Robert ; Dudczyk, Janusz

  • Author_Institution
    Mil. Univ. of Technol., Warsaw
  • fYear
    2006
  • Firstpage
    1168
  • Lastpage
    1171
  • Abstract
    One of the most difficult tasks in the radar signal processing is an optimal features extraction and classification. The multifunction radar systems can not be classified and precisely recognized by most of new and modern Electronic Support Measure and Electronic Intelligence devices in the real time. It is directly combined with a possibility of measurement radar features. The number of radar features is sometimes measured a bit much and more often a few. This paper provides an overview of the new methods of measurement emitter signal features parameters and their transformation. This paper presents some aspects of radar signal features processing using Karhunen-Loeve ´a expansion as a feature selection and classification transform.
  • Keywords
    Karhunen-Loeve transforms; feature extraction; radar signal processing; signal classification; Karhunen-Loeve transformation; emitter signal feature parameter measurement; features extraction; radar signal processing; signal classification; Covariance matrix; Eigenvalues and eigenfunctions; Feature extraction; Karhunen-Loeve transforms; Pattern recognition; Radar measurements; Radar signal processing; Real time systems; Signal processing; Spaceborne radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
  • Conference_Location
    Krakow
  • Print_ISBN
    978-83-906662-7-3
  • Type

    conf

  • DOI
    10.1109/MIKON.2006.4345395
  • Filename
    4345395