A model predictive control equalization transmitter for asymmetric interfaces in 28nm FDSOI

An all-digital nonlinear transmit-side equalization technique based on Model Predictive Control (MPC) is presented. The MPC equalizer performs an online optimization subject to eye height constraints at the RX using transmit waveform as a variable. Compared to existing TX equalization schemes such a...

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Bibliographic Details
Published in2016 IEEE Asian Solid-State Circuits Conference (A-SSCC) pp. 237 - 240
Main Authors Taehwan Kim, Bhargava, Pavan, Stojanovic, Vladimir
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Equalizers
Modulation
Optimization
Predictive control
Receivers
Signal resolution
Transmitters
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ISBN1509036997
9781509036998
DOI10.1109/ASSCC.2016.7844179

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Summary:An all-digital nonlinear transmit-side equalization technique based on Model Predictive Control (MPC) is presented. The MPC equalizer performs an online optimization subject to eye height constraints at the RX using transmit waveform as a variable. Compared to existing TX equalization schemes such as IIR or Tomlinson-Harashima Precoding, MPC has been shown to achieve the best eye performance for any type of channel, especially when the control signal resolution is low, with minimal overhead at the RX. A simplified Direct Search algorithm and architecture optimization techniques are proposed to realize the MPC equalizer for high-speed links. A 20-tap MPC transmitter has been implemented in 28nm FDSOI technology. For a multidrop channel, the equalizer achieves opening of a closed eye at 4.5Gb/s for PAM2 and 6Gb/s for PAM4 mode.
ISBN:1509036997
9781509036998
DOI:10.1109/ASSCC.2016.7844179