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Iterative Symbol-by-symbol Decision Feedback Detection for MIMO-ISI Channels

Authors: Huan Xuan Nguyen; Jinho Choi 0001;

Iterative Symbol-by-symbol Decision Feedback Detection for MIMO-ISI Channels

Abstract

This paper investigates the decision feedback detection for intersymbol interference multiple-input multiple-output (MIMO-ISI) channels. Firstly, a constrained symbol-by-symbol decision feedback detector (CS-DFD) is presented, in which a fixed constraint is used to mitigate the error propagation. Then, we propose an iterative symbol-by-symbol decision feedback detector (IS-DFD) which possibly minimizes the amount of decision error through iterations. While both methods outperform the conventional decision feedback detection, the IS-DFD can overcome the error floor problem from which the C-DFD suffers at a high signal-to-noise ratio.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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