Title :
Low-Power Adaptive FIR Equalizer Via Soft Error Cancellation
Author :
Choi, Jun Won ; Singer, Andrew C. ; Cho, Nam Ik
Author_Institution :
Dept. of Electr. & Comput. Eng., Urbana-Champaign Illinois Univ., Urbana, IL
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 a 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
Keywords :
FIR filters; adaptive equalisers; error correction; least mean squares methods; matrix algebra; 16-tap minimum mean square error FIR equalizer; MMSE FIR equalizer; algorithmic error correction technique; low-power adaptive FIR equalizer; minimum variance unbiased estimator; soft error cancellation; statistical timing error estimation; voltage overscaling technique; Arithmetic; Delay; Digital signal processing; Equalizers; Error correction; Finite impulse response filter; Sampling methods; Signal processing algorithms; Timing; Voltage;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660998