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

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

 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