• DocumentCode
    321587
  • Title

    A multichannel maximum likelihood estimation approach to radar imaging

  • Author

    Jin, Dong-Xing ; Fang, Da-Gang ; Cui, Suo-Min

  • Author_Institution
    Dept. of Sci. Electr. Eng., Nanjing Univ., China
  • Volume
    1
  • fYear
    1997
  • fDate
    2-5 Dec 1997
  • Firstpage
    65
  • Abstract
    This approach for extracting the two-dimensional (2-D) scattering center model is based on the combination of the cosine-modulated filter bank satisfying the perfect reconstruction condition (PR-CMFB) and maximum likelihood estimation. The analysis banks are first used to implement the multichannel decomposition of scattering signal in frequency-aspect domain. The synthesis banks are then used to recombine the decomposed signals and to conveniently obtain several separable subregional signals with high energy and without loss of information. Therefore, the maximum likelihood estimator (MLE) can be used in each subregion independently, making the approach very efficient and possessing superior noise performance. The simulations show that such combination works well and is very promising for radar imaging
  • Keywords
    electromagnetic wave scattering; maximum likelihood estimation; radar imaging; 2-D scattering center model; cosine-modulated filter bank; frequency-aspect domain; multichannel decomposition; multichannel maximum likelihood estimation approach; noise performance; perfect reconstruction condition; radar imaging; separable subregional signals; Electromagnetic scattering; Filter bank; Frequency domain analysis; Image coding; Maximum likelihood estimation; Multiple signal classification; Radar imaging; Radar scattering; Scattering parameters; Speech coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference Proceedings, 1997. APMC '97, 1997 Asia-Pacific
  • Print_ISBN
    962-442-117-X
  • Type

    conf

  • DOI
    10.1109/APMC.1997.659306
  • Filename
    659306