• DocumentCode
    3002818
  • Title

    The least-squares CMA: A new technique for rapid correction of constant modulus signals

  • Author

    Agee, Brian G.

  • Author_Institution
    University of California, Davis, CA
  • Volume
    11
  • fYear
    1986
  • fDate
    31503
  • Firstpage
    953
  • Lastpage
    956
  • Abstract
    A new rapidly-converging constant modulus algorithm is presented, analyzed, and demonstrated for a two-sensor array. The algorithm is shown to be globally stable and convergent for any linearly-independent set of input data. The algorithm is also shown to converge significantly (10 to 100 times) faster than the conventional CMA, with negligible (< 1 dB.) convergent misadjustment, in the presence of moderate and severe co-channel interference.
  • Keywords
    Convergence; Cost function; Data mining; Gaussian approximation; Gaussian processes; Interference; Jacobian matrices; Signal analysis; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1986.1168852
  • Filename
    1168852
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3002818