Patent
Soft bit computation for a reduced state equalizer
TLDR
In this paper, a reduced state equalizer is used for soft bit computation with decision-feedback equalization, and the soft decision-making is used to compute the second set of soft bits.Abstract:
Method and apparatus for soft bit computation with a reduced state equalizer. The method assures that the number of states in the equalizer is reduced to obtain acceptable complexity, while also ensuring that soft bit computation is performed for substantially all bits. The method involves computing a first set of soft bits from bits transmitted in a received signal, using a reduced-state trellis with finite non-zero delay, calculating hard decisions in response to the received signal, and also ensuring that substantially all soft bits are computed by employing zero-delay soft decision-making or decision-feedback equalization to compute a second set of soft bits. Furthermore, the hard decisions are used to compute the second set.read more
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References
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Journal ArticleDOI
Block decision feedback equalization
TL;DR: A natural generalization of the conventional decision feedback equalizer (DFE) based on block processing and maximum a posteriori decisions is presented.
Patent
Maximum likelihood sequence detector
TL;DR: In this paper, a maximum likelihood detector using the Viterbi algorithm for estimating a sequence of data bits received over a communication channel is presented, which is compatible with VLSI techniques and enables the detector to be implemented using minimal semiconductor area.
Proceedings ArticleDOI
Reduced-state soft-output trellis-equalization incorporating soft feedback
TL;DR: It is shown that Lee and Bahl algorithms share a common core and can easily be combined, and the improved performance of the proposed algorithm, compared to a conventional reduced-state Bahl algorithm using feedback of hard decisions, is demonstrated.
Patent
Methods and systems for decoding symbols by combining matched-filtered samples with hard symbol decisions
Paul W. Dent,Kambiz Zangi +1 more
TL;DR: In this article, multibit symbols from a signal received on a communications channel are decoded by combining a matched filtered signal that is derived from input signal samples, and hard decisions that are derived from the input signal sample, in order to obtain soft symbol values.
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TL;DR: In this article, an improved system and method for maximum likelihood sequence detection is disclosed where an incoming stream of symbols subjected to intersymbol interference (ISI) are decoded without knowledge of channel coefficients.