A Novel Reduced Complexity Forward-Backward Equalization Algorithm ∗ (original) (raw)
2004
Abstract
The complexity of channel equalization using the BCJR algorithm grows exponentially with the channel memory and signal cardinality. In this paper we present a novel reduced complexity equalization algorithm where independent forward and backward trellises are formed based on decision feedback sequence estimation (DFSE) idea. Performance of the new equalizer algorithm is evaluated for turbo equalization of the EDGE (Enhanced Data rate for GSM Evolution) system. We also consider the effect of delayed APP calculation on BER performance and show that BER performance can be improved by choosing a proper delay value depending on the channel impulse response.
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