Statistics of the Nonlinear Discrete Spectrum of a Noisy Pulse

Abstract

In the presence of additive Gaussian noise, the statistics of the nonlinear Fourier transform (NFT) of a pulse are not yet completely known in closed form. In this paper, we propose a novel approach to study this problem. Our contributions are twofold: first, we extend the existing Fourier Collocation (FC) method to compute the whole discrete spectrum (eigenvalues and spectral amplitudes). We show numerically that the accuracy of FC is comparable to the state-of-the-art NFT algorithms. Second, we apply perturbation theory of linear operators to derive analytic expressions for the joint statistics of the eigenvalues and the spectral amplitudes when a pulse is contaminated by additive Gaussian noise. Our analytic expressions closely match the empirical statistics obtained through simulations.

arXiv commentUpdated numerical results

References in corpus (3)

• Information Transmission using the Nonlinear Fourier Transform, Part II: Numerical Methods
• Communication Using Eigenvalues of Higher Multiplicity of the Nonlinear Fourier Transform
• Statistics of the Eigenvalues of a Noisy Multi-Soliton Pulse

Cited by in corpus (4)

• Direct scattering transform: catch soliton if you can
• Numerical spectral synthesis of breather gas for the focusing nonlinear Schrödinger equation
• Solitons in a box-shaped wavefield with noise: perturbation theory and statistics
• Successive Eigenvalue Removal for Multi-Soliton Spectral Amplitude Estimation