• DocumentCode
    356733
  • Title

    Partially adaptive array algorithm combined with CFAR technique in transform domain

  • Author

    Moon, Sung-Hoon ; Yun, Dong-Hyun ; Han, Dong-Seog

  • Author_Institution
    Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    439
  • Lastpage
    443
  • Abstract
    A frequency domain partially adaptive algorithm, called a censoring adaptive array (CAA) algorithm, is proposed to reduce the computational complexity of a frequency domain adaptive array. The CAA algorithm uses a cell averaging constant false alarm rate (CA-CFAR) processor to adapt only those weights that correspond to the frequency bins expected to contain interference. The false alarm rate also adapts according to the environment. Furthermore, a censoring spatial smoothing is proposed to combine the CAA algorithm with a spatial smoothing technique. The performances of the proposed algorithms are compared with conventional algorithms using computer simulation
  • Keywords
    adaptive signal processing; array signal processing; computational complexity; frequency-domain analysis; smoothing methods; transforms; CA-CFAR processor; CAA algorithm; cell averaging constant false alarm rate processor; censoring adaptive array algorithm; censoring spatial smoothing; computational complexity; computer simulation; frequency bins; frequency domain adaptive array; interference; partially adaptive algorithm; transform domain; Adaptive algorithm; Adaptive arrays; Computational complexity; Computer aided analysis; Convergence; Eigenvalues and eigenfunctions; Frequency domain analysis; Interference; Least squares approximation; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
  • Conference_Location
    Pocono Manor, PA
  • Print_ISBN
    0-7803-5988-7
  • Type

    conf

  • DOI
    10.1109/SSAP.2000.870162
  • Filename
    870162