TSA-FD-MIMO Equalization via Modified Newton-Schulz Iteration for SDM Systems

Space-division multiplexing (SDM) enhances system capacity by exploiting multicore or multimode fibers, but its multiple-input–multiple-output (MIMO) equalization often relies on matrix inversion. Newton–Schulz iteration (NSI) provides an efficient alternative, yet its convergence degrades under high dimensionality and strong mode-dependent loss (MDL). We propose a modified NSI (M-NSI) with cubic convergence, integrated into a training-sequence-aided frequency-domain MIMO (TSA-FD-MIMO) equalizer. To the best of our knowledge, this is the first experimental demonstration of M-NSI in a two-mode DP-16QAM system, achieving direct matrix inversion (DMI) comparable performance with only two iterations. Numerical simulations further confirm that M-NSI sustains reliable equalization with no more than three iterations even under 10-dB MDL.

Authors

Institutions

Publication Details

Journal
IEEE Photonics Technology Letters
Published
2025-10-14
DOI
https://doi.org/10.1109/lpt.2025.3621214
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TSA-FD-MIMO Equalization via Modified Newton-Schulz Iteration for SDM Systems

Zhixue He, Weisheng Hu, Tonghui Ji, Sheng Wang et al.
IEEE Photonics Technology Letters
Advanced Fiber Optic Sensors
article

TSA-FD-MIMO Equalization via Modified Newton-Schulz Iteration for SDM Systems

Zhixue He, Weisheng Hu, Tonghui Ji, Sheng Wang, Zhaopeng Xu, Lingguo Cao, Jinlong Wei, Linsheng Fan, Ye Gao, Jianwei Tang, Hao Shi, Zhongliang Sun, Xiaofeng Cui, Junpeng Liang, Jianyu Wang
article en

Abstract

Space-division multiplexing (SDM) enhances system capacity by exploiting multicore or multimode fibers, but its multiple-input–multiple-output (MIMO) equalization often relies on matrix inversion. Newton–Schulz iteration (NSI) provides an efficient alternative, yet its convergence degrades under high dimensionality and strong mode-dependent loss (MDL). We propose a modified NSI (M-NSI) with cubic convergence, integrated into a training-sequence-aided frequency-domain MIMO (TSA-FD-MIMO) equalizer. To the best of our knowledge, this is the first experimental demonstration of M-NSI in a two-mode DP-16QAM system, achieving direct matrix inversion (DMI) comparable performance with only two iterations. Numerical simulations further confirm that M-NSI sustains reliable equalization with no more than three iterations even under 10-dB MDL.

IEEE Photonics Technology LettersVol. 38(3)
Peng Cheng Laboratory (CN)
Openalex Percentile: Top 71%
Advanced Fiber Optic Sensors
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

TSA-FD-MIMO Equalization via Modified Newton-Schulz Iteration for SDM Systems — Zhixue He, Weisheng Hu, et al. · IEEE Photonics Technology Letters (2025) | TGRS Research Map | TGRS