Mode-dependent Loss and Gain Estimation in SDM Transmission Based on MMSE Equalizers

TL;DR

This paper analyzes the impact of SNR on MDL/MDG estimation in SDM systems using MMSE equalizers and proposes a correction factor to improve accuracy under noisy conditions.

Contribution

It provides an analytical model of SNR influence on MDL/MDG estimation and introduces a correction factor to enhance estimation accuracy in practical SDM systems.

Findings

Correction factor improves MDL/MDG estimation accuracy.

Standard methods are limited under high noise and mode-dependent loss.

Validation through simulation and experiments confirms effectiveness.

Abstract

The capacity in space division multiplexing (SDM) systems with coupled channels is fundamentally limited by mode-dependent loss (MDL) and mode-dependent gain (MDG) generated in components and amplifiers. In these systems, MDL/MDG must be accurately estimated for performance analysis and troubleshooting. Most recent demonstrations of SDM with coupled channels perform MDL/MDG estimation by digital signal processing (DSP) techniques based on the coefficients of multiple-input multiple-output (MIMO) adaptive equalizers. Although these methods provide a valid indication of the order of magnitude of the accumulated MDL/MDG over the link, MIMO equalizers are usually updated according to the minimum mean square error (MMSE) criterion, which is known to depend on the channel signal-to-noise ratio (SNR). Therefore, MDL/MDG estimation techniques based on the adaptive filter coefficients are also impaired by noise. In this paper, we model analytically the influence of the SNR on DSP-based MDL/MDG estimation, and show that the technique is prone to errors. Based on the transfer function of MIMO MMSE equalizers, and assuming a known SNR, we calculate a correction factor that improves the estimation process in moderate levels of MDL/MDG and SNR. The correction factor is validated by simulation of a 6-mode long-haul transmission link, and experimentally using a 3-mode transmission link. The results confirm the limitations of the standard estimation method in scenarios of high additive noise and MDL/MDG, and indicate the correction factor as a possible solution in practical SDM scenarios.