Optics in Computing 1999
DOI: 10.1364/oc.1999.otha4
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A Monte Carlo Simulation for Tolerancing Microbeam Free Space Optical Interconnects

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Cited by 2 publications
(3 citation statements)
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“…RSS analysis is fast, but it is known that this method is not valid as error functions for optical systems are not additive and tolerances are not linearly independent. Finally, it is possible to obtain an accurate determination of misalignment tolerance by performing a Monte Carlo analysis [44], [14]. Many simulated systems are generated in which all components are assumed to be misaligned with some suitable probability distribution and the final throughput in each case is calculated.…”
Section: Table III Component Tolerances As a Function Of Sensitivitymentioning
confidence: 99%
“…RSS analysis is fast, but it is known that this method is not valid as error functions for optical systems are not additive and tolerances are not linearly independent. Finally, it is possible to obtain an accurate determination of misalignment tolerance by performing a Monte Carlo analysis [44], [14]. Many simulated systems are generated in which all components are assumed to be misaligned with some suitable probability distribution and the final throughput in each case is calculated.…”
Section: Table III Component Tolerances As a Function Of Sensitivitymentioning
confidence: 99%
“…1. 12 We described the system as a series of elements, specifying the thickness, index of refraction, and radius of curvature of each. We then modeled the propagation of a Gaussian beam through the system using the complex beam parameter, q, and the ABCD-matrix-transfer method.…”
Section: Optical System Modelingmentioning
confidence: 99%
“…There have been a number of studies on FSOI systems, its alignment, tolerancing, and packaging. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] In the present study, we approached the problem from a statistical point of view that was focused on the development of a probabilistic relationship between the system performance and tolerance variables in the form of a prediction equation. Such an equation could then serve as the basis for the design, evaluation, and optimization of the FSOI system.…”
Section: Introductionmentioning
confidence: 99%