Linear Least Squares Estimation of Fiber-Longitudinal Optical Power Profile

no code implementations • 7 Oct 2023 • Takeo Sasai, Minami Takahashi, Masanori Nakamura, Etsushi Yamazaki, Yoshiaki Kisaka

This paper presents a linear least squares method for fiber-longitudinal power profile estimation (PPE), which estimates an optical signal power distribution throughout a fiber-optic link at a coherent receiver.

Performance Limit of Fiber-Longitudinal Power Profile Estimation Methods

no code implementations • 15 Nov 2022 • Takeo Sasai, Etsushi Yamazaki, Yoshiaki Kisaka

This paper presents analytical results on longitudinal power profile estimation (PPE) methods, which visualize signal power evolution in optical fibers at a coherent receiver.

Physics-oriented learning of nonlinear Schrödinger equation: optical fiber loss and dispersion profile identification

no code implementations • 13 Apr 2021 • Takeo Sasai, Masanori Nakamura, Etsushi Yamazaki, Shuto Yamamoto, Hideki Nishizawa, Yoshiaki Kisaka

In optical fiber communication, system identification (SI) for the nonlinear Schr\"odinger equation (NLSE) has long been studied mainly for fiber nonlinearity compensation (NLC).

Management

Wiener-Hammerstein model and its learning for nonlinear digital pre-distortion of optical transmitters

no code implementations • 15 Dec 2020 • Takeo Sasai, Masanori Nakamura, Etsushi Yamazaki, Asuka Matsushita, Seiji Okamoto, Kengo Horikoshi, Yoshiaki Kisaka

We present a simple nonlinear digital pre-distortion (DPD) of optical transmitter components, which consists of concatenated blocks of a finite impulse response (FIR) filter, a memoryless nonlinear function and another FIR filter.