Elements of information theory
Elements of information theory
Journal of VLSI Signal Processing Systems
Digital Communication: Third Edition
Digital Communication: Third Edition
Design of multigigabit multiplexer-loop-based decision feedback equalizers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Low Complexity Design of High Speed Parallel Decision Feedback Equalizers
ASAP '06 Proceedings of the IEEE 17th International Conference on Application-specific Systems, Architectures and Processors
Novel FEXT cancellation and equalization for high speed ethernet transmission
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Multiple decision feedback equalizers for vector systems with complexity/performance tradeoff
ICT'09 Proceedings of the 16th international conference on Telecommunications
IEEE Transactions on Signal Processing - Part I
Interference cancellation for cellular systems: a contemporary overview
IEEE Wireless Communications
An upper bound on the error probability in decision-feedback equalization
IEEE Transactions on Information Theory
Upper bounds to the error probability of decision feedback equalization
IEEE Transactions on Information Theory
Techniques for high-speed implementation of nonlinear cancellation
IEEE Journal on Selected Areas in Communications
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This paper presents an improved decision feedforward equalizer (DFFE) for high speed receivers in the presence of highly dispersive channels. This decision-aided equalizer technique has been recently proposed for multigigabit communication receivers, where the use of parallel processing is mandatory. Well-known parallel architectures for the typical decision feedback equalizer (DFE) have a complexity that grows exponentially with the channel memory. Instead, the new DFFE avoids that exponential increase in complexity by using tentative decisions to cancel iteratively the intersymbol interference (ISI). Here, we demostrate that the DFFE not only allows to obtain a similar performance to the typical DFE but it also reduces the compelxity in channels with large memory. Additionally, we propose a theoretical approximation for the error probability in each iteration. In fact, when the number of iteration increases, the error probability in the DFFE tends to approach the DFE. These benefits make the DFFE an excellent choice for the next generation of high-speed receivers.