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Adaptive Frequency-Domain Equalization in Mode-Division Multiplexing Systems

delete2014-05-01
delete93
PRE
AI
S
Sercan Ö. Arık *
D
Daulet Askarov
J
Joseph M. Kahn
DOI:10.1109/JLT.2014.2303079delete
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摘要

摘要

En 中文
Long-haul mode-division multiplexing (MDM) employs adaptive multi-input multi-output (MIMO) equalization to compensate for modal crosstalk and modal dispersion. MDM systems must typically use MIMO frequency-domain equalization (FDE) to minimize computational complexity, in contrast to polarization-division-multiplexed systems in single-mode fiber, where time-domain equalization (TDE) has low complexity and is often employed to compensate for polarization effects. We study two adaptive algorithms for MIMO FDE: least mean squares (LMS) and recursive least squares (RLS). We analyze tradeoffs between computational complexity, cyclic prefix efficiency, adaptation time and output symbol-error ratio (SER), and the impact of channel group delay spread and fast Fourier transform (FFT) block length on these. Using FDE, computational complexity increases sublinearly with the number of modes, in contrast to TDE. Adaptation to an initially unknown fiber can be achieved in similar to 35 mu s using RLS or similar to 15-25 mu s using LMS in fibers supporting 6-30 modes. As compared to LMS, RLS achieves faster adaptation, higher cyclic prefix efficiency, lower SER, and greater tolerance to mode-dependent loss, but at the cost of higher complexity per FFT block. To ensure low computational complexity and fast adaptation in an MDM system, a low overall group delay spread is required. This is achieved here by a family of graded-index graded depressed-cladding fibers in which the uncoupled group delay spread decreases with an increasing number of modes, in concert with strong mode coupling.
Keyword:
DSP complexity
MIMO
equalization
few-mode fiber
modal dispersion
mode coupling
mode-division multiplexing
multi-mode coherent receiver
multi-mode fiber
receiver signal processing
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期刊

Journal of Lightwave Technology 封面图
Journal of Lightwave Technology
IF:
4.8
论文数:
1.7W
被引数:
3.8W

机构

S
Stanford University
学者数:
9.6W
论文数: 8.2W
被引数: 17.0W
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