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- W2168500433 abstract "Parallel interference cancellation (PIC) is a promising detection technique for multiuser code-division multiple access (CDMA) systems. It has previously been shown that weighted multistage PIC can be seen as a realisation of the steepest descent method for minimising the mean squared error (MSE). Following this interpretation, a unique set of weights, based on the eigenvalues of the correlation matrix, leads to the minimum achievable MSE for a short-code CDMA system. In this paper, we develop a method for finding a set of fixed weights, minimising the ensemble average of the MSE over all code-sets. Exact expressions of the ensemble averaged moments of the eigenvalues are derived. Simulation results show that a few stages can be sufficient for near-MMSE performance." @default.
- W2168500433 created "2016-06-24" @default.
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- W2168500433 date "2002-11-07" @default.
- W2168500433 modified "2023-09-23" @default.
- W2168500433 title "MMSE-based linear parallel interference cancellation in long-code CDMA" @default.
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- W2168500433 doi "https://doi.org/10.1109/izsbc.2000.829225" @default.
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