Determination of modal power distribution in graded-index optical waveguides from near-field patterns and its application to differential mode attenuation measurement
Abstract:A technique is introduced that determines power distribution in fibers from the measured near-field pattern, assuming that: (1) the optical power distributes uniformly among degenerated modes with the same propagation constant, (2) enough modes are excited to ensure the validity of calculation by geometrical optics, and (3) the phase of each propagation mode has no correlation. Experiments verifed that the fibers have the function of flattening power distribution among modes with the same propagation constant.… Show more
“…Following the work originally proposed in [6] and further developed in [7], the near field intensity can be computed from the contribution of all propagating modes introducing the MTF: (1) where δ is the normalized propagation constant.…”
The paper experimentally analyzes the procedure for the evaluation of the excitation conditions of multi-mode fibers according to the draft of the IEC 61300-3-43 Standard. Key parameters such as Mode Transfer Function and Mode Power Distribution are computed from near field measurements using a custom set-up and the impact of near-field image related uncertainties, such as those in the pixel/micrometer calibration factor, is investigated. The study highlights that a 2% uncertainty in the near field image calibration factor still causes acceptable effects in the evaluation of the excitation conditions; other uncertainty sources, such as the defocusing and the image processing algorithm, are currently being investigated.
“…Following the work originally proposed in [6] and further developed in [7], the near field intensity can be computed from the contribution of all propagating modes introducing the MTF: (1) where δ is the normalized propagation constant.…”
The paper experimentally analyzes the procedure for the evaluation of the excitation conditions of multi-mode fibers according to the draft of the IEC 61300-3-43 Standard. Key parameters such as Mode Transfer Function and Mode Power Distribution are computed from near field measurements using a custom set-up and the impact of near-field image related uncertainties, such as those in the pixel/micrometer calibration factor, is investigated. The study highlights that a 2% uncertainty in the near field image calibration factor still causes acceptable effects in the evaluation of the excitation conditions; other uncertainty sources, such as the defocusing and the image processing algorithm, are currently being investigated.
“…To account for the radial dependency of the refractive index in the core, the computation of the propagation coefficients β ν,µ and the modal fields e ν,µ (r, φ ), h ν,µ (r, φ ) is performed by a direct numerical integration of Maxwell's equations in their full-wave form [22]. Models based on ray optics can be also used to give the near-field intensity yielded by a mode group, however, excitation of a large number of modes is assumed and the phase of the modal amplitudes is not taken into consideration [23,24].…”
“…A my ()) is independent of m, v) . This problem has been discussed extensively in the literature [8][9][10][11] but the more general problem of how to launch a specific combination of modes into the fibre and whether this can be advantageous for certain applications remains to be resolved . Experimentally the laser beam profile was adjusted such that the intensity across the beam launched into the fibre was constant and the beam was converging .…”
Section: Electromagnetic Analysismentioning
confidence: 99%
“…El X1 experimental ; -Xl theoretical (using assumption 3) ; ∎ X1 theoretical (using assumpExperimental results (points with error bars) and theoretical predictions (curves) of the chromaticity variable x 2 as a function of the (normalized) radius) . 0 X2 experimental ; • X2 theoretical (using assumption 3) ; ∎ X2 theoretical (using assumption 1) .Substituting equations (9), (17) into equation(10) and re-expressing the probability distribution as P(I1, 0 1 ; I2, 02) = [4n 2 (T1T2-ITI 2 )] -1 xexp[ -T1I1 -T2I2+2ITI(I1I2) 112 cos(01 -02+v)],…”
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