An Equalizer Adaptation Algorithm to Reduce Jitter in Binary Receivers

This brief describes a hardware-efficient technique for adaptive equalization that minimizes jitter in baseband binary nonreturn-to-zero serial links. Whereas traditional least mean square (LMS) adaptation minimizes the mean squared error only at the center of the received eye pattern, this algorithm explicitly includes low jitter as part of its optimization criteria. The resulting equalizer coefficients provide a compromise between maximizing noise margin and minimizing jitter at the equalizer output. The adaptation algorithm operates on 1-bit (signed) signals and can be efficiently combined with binary phase detection in an integrated receiver. Behavioral simulations for a 10-Gb/s optical fiber link show that the proposed approach improves timing margin compared with sign-sign LMS adaptation