FLAP 2022
Efficient PAM-4 Symbol Estimation Using Soft Clustering.
Abstract
Multi-valued data transmission using four-level pulse amplitude modulation (PAM-4) is promising for alleviating the bandwidth limitation of interconnects. To evaluate the received signal quality during data transmission when using adaptive coefficient settings for a PAM-4 equalizer, we propose an eye-opening monitor method based on statistics of PAM-4 symbol transition. The proposed statistical eye-opening monitor is based on soft clustering and enables efficient PAM-4 data transmission under closed-eye conditions. Simulation results demonstrate the feasibility of symbol classification using the proposed statistical evaluation method.
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Context
- Venue
- IfCoLog Journal of Logics and their Applications
- Archive span
- 2014-2026
- Indexed papers
- 633
- Paper id
- 509832269063408058