Modified DSP with reduced complexity in adaptive equalization for DCI systems

Abstract

We investigate the computational complexity of adaptive equalization in coherent receiver digital signa l processing (DSP) for data center interconnect (DCI) systems. We propose modified DSP procedures with a first-stage static filter and a second-stage short-length adaptive equalizer. Typically, coherent DSP requires 11 and 17 adaptive equalizer taps respectively for 60 Gbaud and 80 Gbaud signals in the 100 km fiber link. The modified DSP procedures combine matched filter, chromatic dispersion compensation (CDC), and non-ideal channel effects and polarization effect s in to a static filter. Since polarization demultiplexing is partially realized by the static filter, the size of the following adaptive equalizer is substantially reduced. Results showed 35% - 87% overall complexity reduction in adaptive equalization a s compared with the reference DSP, depending on link length and symbol rate.