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• W2141470122 abstract "Turbo equalization scheme provides nearly optimal performance but when it is employed in sparse multipath channel environments, the equalizer complexity can prohibit its use and develops a parallel trellis n-tap maximum a posteriori (MAP) equalizer, which can consider n dominant taps of sparse channels in the trellis with reasonable complexity. It is shown that turbo equalizations employing n-tap MAP equalizer can achieve nearly the same asymptotic performance of optimal maximum likelihood (ML) detector assuming perfect intersymbol interference (ISI) cancellation which is required for n-tap MAP. We also propose a tap allocation scheme for time-varying minimum mean squared error (MMSE) equalizer which can significantly reduce complexity and provide good tracking performance in time-varying channels." @default.
• W2141470122 created "2016-06-24" @default.
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• W2141470122 date "2004-10-19" @default.
• W2141470122 modified "2023-09-26" @default.
• W2141470122 title "Turbo equalizations for sparse channels" @default.
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• W2141470122 doi "https://doi.org/10.1109/wcnc.2004.1311447" @default.
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