Fig. 1. LSTM neural network model assisted FSO system model for polarization code decoding

Fig. 2. Basic unit of the LSTM network

Fig. 3. LSTM network prediction model framework

Fig. 4. Execution flow chart of LSTM-SCFlips decoding method

Fig. 5. Root mean square error distribution in a weak turbulence channel

Fig. 6. Training time in weak turbulence channel

Fig. 7. Performance of LSTM network in weak turbulence channel

Fig. 8. Correct recognition rate of optimal flip position in weak turbulence channel (σ₀=0.2)

Fig. 9. Performance comparison chart of different bit flipping decoding schemes under weak turbulence channel (σ₀=0.2)

Fig. 10. Comparison of decoding performance under different turbulence intensities