TY - JOUR
T1 - Novel equalization techniques for space division multiplexing based on stokes space update rule
AU - Caballero, Francisco Javier Vaquero
AU - Pittalà, Fabio
AU - Goeger, Gernot
AU - Wang, Mi
AU - Ye, Yabin
AU - Tafur Monroy, Idelfonso
PY - 2017
Y1 - 2017
N2 - Space division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for space division multiplexing (SDM). Although different papers have been published about the SSA and its MIMO implementation, we provide for the first time an analysis of the of the convergence speed and frequency offset of the SSA compared to the least mean square (LMS). SSA algorithm can deal with higher frequency offsets and linewidths than LMS, being suitable for optical communications with higher phase noise. SSA does not need pre-compensation of frequency offset, which can be compensated after equalization without penalties. On the other hand, due to reduced convergence speed, SSA requires longer training sequences than LMS.
AB - Space division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for space division multiplexing (SDM). Although different papers have been published about the SSA and its MIMO implementation, we provide for the first time an analysis of the of the convergence speed and frequency offset of the SSA compared to the least mean square (LMS). SSA algorithm can deal with higher frequency offsets and linewidths than LMS, being suitable for optical communications with higher phase noise. SSA does not need pre-compensation of frequency offset, which can be compensated after equalization without penalties. On the other hand, due to reduced convergence speed, SSA requires longer training sequences than LMS.
KW - Frequency domain equalization
KW - Space division multiplexing
KW - Coherent technologies
U2 - 10.3390/photonics4010012
DO - 10.3390/photonics4010012
M3 - Journal article
SN - 2304-6732
VL - 4
JO - Photonics
JF - Photonics
IS - 1
ER -