Journal ArticleDOI
Introducing erasures in decision-feedback equalization to reduce error propagation
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A simple modification of the decision feedback equalizer (DFE) slicer is proposed to reduce the effect of error propagation, and a comparison of the performance of the modified DFE and conventional DFE is made for specific channels.Abstract:
A simple modification of the decision feedback equalizer (DFE) slicer is proposed to reduce the effect of error propagation. A comparison of the performance of the modified DFE and conventional DFE is made for specific channels. On these channels, the modified DFE performs only marginally better than the conventional DFE in terms of average error probability, but may offer some advantages in terms of error probability conditioned on specific input sequences and in terms of the distribution of error burst lengths. Some examples are given, concerning binary PAM and multilevel quadrature amplitude modulation (M-QAM) systems.read more
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Book
Quadrature Amplitude Modulation: From Basics to Adaptive Trellis-Coded, Turbo-Equalised and Space-Time Coded OFDM, CDMA and MC-CDMA Systems
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MMSE reception and successive interference cancellation for MIMO systems with high spectral efficiency
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References
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Digital communications
TL;DR: This month's guest columnist, Steve Bible, N7HPR, is completing a master’s degree in computer science at the Naval Postgraduate School in Monterey, California, and his research area closely follows his interest in amateur radio.
Journal ArticleDOI
An upper bound on the error probability in decision-feedback equalization
TL;DR: These results demonstrate that the decision-feedback equalizer has a lower error probability than the linear zero-forcing equalizer when there is both a high S/N ratio and a fast roll-off of the feedback tap gains.
Journal ArticleDOI
Adaptive Equalization of the Slow Fading Channel
TL;DR: The results show that the error propagation effect is small and in regions of practical error probabilities the decision-feedback equalizer is superior to its linear counterpart.
Journal ArticleDOI
Upper bounds to the error probability of decision feedback equalization
S.A. Altekar,Norman C. Beaulieu +1 more
TL;DR: New upper bounds to the error probability of decision feedback equalization, which take error propagation into account, are developed and are valid for any noise process that has a symmetric and unimodal probability density function.