The application discloses a kind of based on neural network master-slave architecture's
space division multiplexing transmission optical
signal demodulation method, comprising:1. Adopt time window input to capture inter-symbol
time correlation, construct
Transformer encoder architecture, through multi-head self-attention
global modeling mode-to-mode
crosstalk and time dependence, fusion multimodal physical parameter feature;2. Select reference mode to
train basic network, use transfer learning to quickly adapt other
space division multiplexing mode, reduce training data amount;3. Structured
pruning is carried out to each mode
Transformer network, according to the importance of attention head and
neuron, remove redundant structure, realize lightweight deployment;4. According to bit MSE allocation
demodulation mode, the bit with good
training effect uses lightweight network, and the rest uses Log-MAP
algorithm;According to channel quality dynamic adjustment network depth and the number of attention heads in real-time
demodulation, balance complexity and performance.The application can improve demodulation performance, reduce data demand, enhance channel adaptability, realize high-performance low-power real-time demodulation.