Eigenvalue-Domain Neural Network Demodulator for Eigenvalue-Modulated Signal

Optical eigenvalue communication is a promising technique for overcoming the Kerr nonlinear limit in optical systems. The associated with Schrödinger equation remains invariant during fiber-based dispersive transmission. However, practical applications involving use of such systems are limited by occurrence fiber loss and amplified noise that induce distortion. Thus, several time-domain neural-network-based approaches have been proposed demonstrated to enhance receiver sensitivity toward eigenvalue-modulated signals. despite substantial improvement power margin realized using demodulators compared their conventional counterparts, these devices require rigorous training each transmission distance owing changes pulses This paper presents method demodulation signals an eigenvalue-domain neural network demonstrates its utility through simulation experimental results. Simulation results obtained this study reveal demodulator superior generalization performance counterpart regard distance. Moreover, demonstrate successful over distances from zero 3000 km without