Model Based Maximum Likelihood Detector for Optical Communications Systems Employing the Nonlinear Fourier Transform

Abstract

Ofer Aluf

Optical communication systems are implemented in many systems and employ the nonlinear fourier transform (NFT). The use of the model is based on a maximum likelihood detector. The fiber communication system is described by the NFT scheme and by Digital Signal Processing (DSP) architecture. We use the previously developed analytical model for the nonlinear frequency division multiplexing channel to develop a maximum likelihood detection scheme for both symbol-wise detection and (if possi- ble) sequence detection via the Viterbi algorithm with quantized observed samples.

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