The invention relates to the technical field of
optical fiber communication, in particular to an adaptive channel response matching neural network
equalization method and
system. The method comprises the following steps: acquiring
signal data, preprocessing the
signal data, and dividing the
signal data into a
training set and a
test set; designing an ACRM-NNE model, and obtaining an ACRM-NNE training model through training of the
training set; performance is tested through a
test set, and the ACRM-NNE training model is used as an adaptive channel response matching neural network
equalizer; and matching a neural network
equalizer through adaptive channel response to carry out
equalization. According to the adaptive channel response matching neural network
equalizer, bandwidth limited signals can be effectively processed, the adaptive channel response matching neural network equalizer is suitable for
equalization of
pulse amplitude modulation signals with inter-symbol interference, different influence factors can be effectively considered by a multi-head attention layer, and the
time sequence processing capacity is greatly improved; the cascaded structure of the
encoder and the decoder in the ACRM-NNE model can replace the
operation mode of
partial response equalization and MLSE decoding, and the
digital signal processing flow is simplified.