| Paper: | SPCOM-P6.1 | ||
| Session: | Channel Estimation & Equalization I | ||
| Time: | Wednesday, May 17, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communication: Applications involving signal processing for communication | ||
| Title: | LOW-POWER ADAPTIVE EQUALIZER VIA SOFT ERROR CANCELLATION | ||
| Authors: | Jun Won Choi, Andrew Singer, University of Illinois at Urbana-Champaign, United States; Nam IK Cho, Seoul National University, Republic of Korea | ||
| Abstract: | In this paper, we present an adaptive FIR equalizer which reduces power dissipation by employing a new algorithmic error correction technique. Building on the voltage overscaling (VOS) technique, we formulate the statistical estimation of timing errors that may be caused by VOS, called soft errors to detect and cancel them at the system level. We derive a minimum variance unbiased estimator and develop an adaptive and power-optimized algorithm for an adaptive equalizer. Up to 30% power savings are demonstrated with negligible performance loss for an example, 16-tap minimum mean square error (MMSE) FIR equalizer. | ||
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