Demonstration of a programmable PMD source

Damask, Jay N.; Simer, G.J.; Rochford, Kent B.; Myers, P.R.

doi:10.1109/lpt.2002.806844

Cited by 21 publications

(11 citation statements)

References 10 publications

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“…In this case, the PMD vector is simply given by . In addition, if no circular birefringence is present (e.g., for linearly birefringent elements), lies on the equatorial plane of the Poincaré sphere [29].…”

Section: A Transmission Matrices and The Pmd Vectormentioning

confidence: 99%

“…Many experimental PMD generation techniques also employ a concatenation of birefringent elements, such as high-birefringence fibers [27] or birefringent waveplates [28], [29]. These can be connected by either polarization scramblers (e.g., polarization controllers [27]), or rotatable connectors [28].…”

Section: B the First-order Pmd Concatenation Equationmentioning

confidence: 99%

“…In a manner similar to the first-order concatenation equation, when polarization scramblers are present, an additional rotation matrix Q precedes in (27) and (28). As before, the concatenation equation can then be written in a form identical to (28), with a new rotation matrix R R Q and with the new contributions Q uniformly distributed on the Poincaré sphere.…”

Section: A the Second-order Pmd Concatenation Equationmentioning

confidence: 99%

“…As before, the concatenation equation can then be written in a form identical to (28), with a new rotation matrix R R Q and with the new contributions Q uniformly distributed on the Poincaré sphere.…”

Section: A the Second-order Pmd Concatenation Equationmentioning

confidence: 99%

“…We want to write these equations in the frame of reference defined by the analogs of (29). (This frame rotates with the first-and second-order PMD vectors.)…”

Section: B Continuum Limit and Deterministic Biasing Directionsmentioning

confidence: 99%

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Importance sampling for polarization-mode dispersion

Biondini

Kath

Menyuk

2002

IEEE Photon. Technol. Lett.

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Abstract-The basic theory of importance sampling (IS) as relevant to polarization-mode dispersion (PMD) in optical fibers is discussed, and its application to Monte Carlo (MC) simulations of PMD-induced transmission impairments is demonstrated. The use of IS allows rare PMD events to be simulated much more efficiently than with standard MC methods. As a consequence, methods employing IS provide natural and effective tools to assess PMD-induced impairments and outages in optical transmission systems at realistic probability levels.Index Terms-Importance sampling (IS), Monte Carlo (MC) simulations, optical fiber communications, polarization-mode dispersion (PMD).

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Section: A Transmission Matrices and The Pmd Vectormentioning

confidence: 99%

Section: B the First-order Pmd Concatenation Equationmentioning

confidence: 99%

Section: A the Second-order Pmd Concatenation Equationmentioning

confidence: 99%

Section: A the Second-order Pmd Concatenation Equationmentioning

confidence: 99%

“…We want to write these equations in the frame of reference defined by the analogs of (29). (This frame rotates with the first-and second-order PMD vectors.)…”

Section: B Continuum Limit and Deterministic Biasing Directionsmentioning

confidence: 99%

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