This paper presents an idea for enhancing the convergence rate of the Blind Constant Modulus Algorithm which is used in spatial filtering (Beam Forming) of the users in a typical CDMA environment. The convergence rate is increased by initializing the weights of the CMA using a Non - Blind algorithm Least Mean Squares (LMS) utilizing only a few samples of training sequence. Performance as well as convergence of the algorithm have been enhanced using this technique. Computer simulations are presented to show the improved performance of this technique.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improving the convergence rate of Blind Constant Modulus Algorithm by using short training sequence


    Contributors:
    Sajid, S. (author) / Azeem, J. (author) / Mahmood, I. (author)


    Publication date :

    2008-11-01


    Size :

    231216 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English