Improved MMSE Algorithm for DFE Optimization
Abstract
The signal in channels with high-speed designs is attenuated by channel loss, inter-symbol interference, jitter, noise and crosstalk. The main way to recover the signal is by using equalizations, such as Feed-Forward Equalizer, Continuous Time-Linear Equalizer and Decision Feedback Equalizer (DFE). One of the important problems with high-speed design and channel simulations is developing fast optimization algorithms for each equalizer, as each additional tap increases the cost of the chip. The paper proposes a new efficient optimization of DFE for high-speed links. Mathematical formulation of the optimization is discussed. Different test results are given for comparison purposes.
Recommended Citation
N. Dikhaminjia et al., "Improved MMSE Algorithm for DFE Optimization," Proceedings of the IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity (2017, Washington, D.C.), pp. 433 - 436, Institute of Electrical and Electronics Engineers (IEEE), Aug 2017.
The definitive version is available at https://doi.org/10.1109/ISEMC.2017.8077909
Meeting Name
IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity (2017: Aug. 7-11, Washington, DC)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Continuous Time Systems; Decision Feedback Equalizers; Electromagnetic Compatibility; Optical Communication; Channel Simulation; Fast Optimizations; Feed Forward Equalizers; High Speed Designs; High-Speed Links; Linear Equalizer; Mathematical Formulation; Multilevels; Optimization; DFE; Multi-Level Signal
International Standard Book Number (ISBN)
978-1538622315; 978-1538622292
International Standard Serial Number (ISSN)
2158-1118
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Aug 2017
Comments
This paper is based upon work supported partially by the National Science Foundation under Grant No. IIP-1440110.