Asymptotic Probability Density Function of Nonlinear Phase Noise

Details Asymptotic Probability Density Function of Nonlinear Phase Noise Asymptotic Probability Density Function of Nonlinear Phase Noise

2003-01-28

arxiv.org/abs/physics/0301067v1

Optics Letters, vol. 28, pp. 1350-1352, 2003

Physics

Optics

13 pages, 3 figures

Scientific paper

10.1364/OL.28.001350

The asymptotic probability density function of nonlinear phase noise, often called the Gordon-Mollenauer effect, is derived analytically when the number of fiber spans is very large. The nonlinear phase noise is the summation of infinitely many independently distributed noncentral chi-square random variables with two degrees of freedom. The mean and standard deviation of those random variables are both proportional to the square of the reciprocal of all odd natural numbers. The nonlinear phase noise can also be accurately modeled as the summation of a noncentral chi-square random variable with two degrees of freedom and a Gaussian random variable.

Affiliated with

Also associated with

No associations

Rating

Asymptotic Probability Density Function of Nonlinear Phase Noise does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Asymptotic Probability Density Function of Nonlinear Phase Noise, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Asymptotic Probability Density Function of Nonlinear Phase Noise will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-317548