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This paper discusses the implementation of a prefiltering strategy for DS-CDMA systems based on the Minimum Probability of Error (MPOE) cost function. We demonstrate that MPOE outperforms the traditional Minimum Mean Square Error (MMSE) approach in error probability performance. The system model includes joint and individual prefiltering for different users, optimized via a gradient-based algorithm. The performance is evaluated using a complex Gaussian multipath channel with correlated spreading codes. Results indicate that individual prefiltering significantly enhances performance compared to joint prefiltering.
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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