DocumentCode
1145056
Title
Compensation of Multimode Fiber Dispersion Using Adaptive Optics via Convex Optimization
Author
Panicker, Rahul Alex ; Kahn, Joseph M. ; Boyd, Stephen P.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., Stanford, CA
Volume
26
Issue
10
fYear
2008
fDate
5/15/2008 12:00:00 AM
Firstpage
1295
Lastpage
1303
Abstract
In this paper, we propose a provably optimal technique for minimizing intersymbol interference (ISI) in multimode fiber (MMF) systems using adaptive optics via convex optimization. We use a spatial light modulator (SLM) to shape the spatial profile of light launched into an MMF. We derive an expression for the system impulse response in terms of the SLM reflectance and the field patterns of the MMF principal modes (PMs). Finding optimal SLM settings to minimize ISI, subject to physical constraints, is posed as an optimization problem. We observe that our problem can be cast as a second-order cone program, which is a convex optimization problem. Its global solution can, therefore, be found with minimal computational complexity, and can be implemented using fast, low-complexity adaptive algorithms. We include simulation results, which show that this technique opens up an eye pattern originally closed due to ISI. We also see that, contrary to what one might expect, the optimal SLM settings do not completely suppress higher order PMs.
Keywords
adaptive optics; computational complexity; convex programming; intersymbol interference; optical fibre dispersion; spatial light modulators; transient response; MMF principal modes; SLM; adaptive optics; computational complexity; convex optimization; eye pattern; impulse response; intersymbol interference; low-complexity adaptive algorithms; multimode fiber dispersion; second-order cone program; spatial light modulator; Adaptive optics; optical fiber dispersion; spatial light modulators (SLMs);
fLanguage
English
Journal_Title
Lightwave Technology, Journal of
Publisher
ieee
ISSN
0733-8724
Type
jour
DOI
10.1109/JLT.2008.917324
Filename
4498396
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