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Gradient based algorithm is used to find the prefilter weight with MPOE as cost function - PowerPoint PPT Presentation


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 Prefiltering in down link with minimum probability of error as cost function (MPOE)  MPOE a more appropriate cost function than MMSE Receiver is a simple matched filter (Single user detector)  Channel  Completely known at the transmitter

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  • Prefiltering in down link with minimum probability of error as cost function (MPOE)

  •  MPOE a more appropriate cost function than MMSE

  • Receiver is a simple matched filter (Single user detector)

  •  Channel

  •  Completely known at the transmitter

  •  Partially known: Statistical channel parameters known at the transmitter

  •  Common prefilter for all users

     Joint probability of error optimized

     Performance not quite satisfactory

    • Different (optimized) prefilter for each user

    • Individual probability of error minimized

       Excellent performance

    MPOE based Prefiltering for DS-CDMA Systems

    Mohit Garg, G Kannan, S N Merchant, U B Desai

    Idea:

    System Model:

    Joint prefilter model Individual prefilter model

    Approach:

    Gradient based algorithm is used to find the prefilter weight with MPOE as cost function


    General Channel Model with MAI+ISI

     Multipath, complex Gaussian channel

     Number of users 4

     Correlated spreading codes with ρ = 0.1015

     FIR prefilter of length 4

     10,000 bits of data used for each channel

    Simulations:

    Performance plot with known channel model Performance plot using statistical parameters of channel

    Conclusion:

     Prefiltering based on MPOE is superior to MMSE prefiltering

     Individual prefiltering performs much better than joint prefiltering

    www.ee.iitb.ac.in/~ubdesai, www.ee.iitb.ac.in/~spann


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