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Misalignment tolerance analysis of free-space optical interconnects via statistical methods
Nur S F Ozkan1, W Lee Hendrick, Philippe J Marchand
1University of California, San Diego, Department of Electrical and Computer Engineering, LaJolla 92093-0407, USA.
Applied Optics
|May 23, 2002
Summary
Statistical methods improve free space optical interconnections (FSOI) by predicting performance impacts from optical misalignments. This aids system design and optimization for desktop applications.
Area of Science:
- Optical Engineering
- System-Level Packaging
- Free Space Optics
Background:
- System-level packaging is crucial for integrating free space optical interconnections (FSOI) into desktop environments.
- FSOI system performance, particularly bit-error rate, is highly sensitive to optical misalignments.
- Accurate tolerancing is essential for system designers to predict and mitigate misalignment effects.
Purpose of the Study:
- To develop a statistical approach for analyzing the impact of optical misalignments and tolerance factors on FSOI performance.
- To create a predictive model for system performance based on various tolerance variables.
- To identify critical tolerance factors through sensitivity analysis for design optimization.
Main Methods:
- Application of statistical methods, including Monte Carlo simulations.
- Utilization of Design of Experiments (DOE) to systematically study tolerance factors.
- Employing regression techniques to develop a polynomial prediction model relating system performance to tolerances.
Main Results:
- A prediction model was established to quantify the relationship between system performance and tolerance factors.
- Sensitivity analysis identified key tolerance variables significantly affecting FSOI system performance.
- The developed model supports design, cost optimization, and quality control in FSOI systems.
Conclusions:
- Statistical modeling provides a robust framework for understanding and managing optical misalignments in FSOI.
- The predictive model enables informed design decisions, leading to improved system reliability and cost-effectiveness.
- Sensitivity analysis highlights critical areas for focused engineering efforts in FSOI development.