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(a) Recognition accuracy of OAM modes propagating through atmospheric turbulence with C 2 n value in1 × 10 −14 m −2/3 and l ranging from -10 to +10. (b) Accuracy for LG beams with various value of TCs at different distances with C 2 n equals1 × 10 −14 m −2/3 .

(a) Recognition accuracy of OAM modes propagating through atmospheric turbulence with C 2 n value in1 × 10 −14 m −2/3 and l ranging from -10 to +10. (b) Accuracy for LG beams with various value of TCs at different distances with C 2 n equals1 × 10 −14 m −2/3 .

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Because of the unlimited range of state space, orbital angular momentum (OAM) as a new degree of freedom of light has attracted great attention in optical communication field. Recently there are a number of researches applying deep learning on recognition of OAM modes through atmospheric turbulence. However, there are several limitations in previou...

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Context 1
... shown in Fig. 5. (a), MDCNN is perfectly capable of sorting LG light with positive and negative TC with the same absolute value. As the absolute value of TC grows, the accuracy drops gradually. We believe this is because the crosstalk induced by atmospheric turbulence between channels gets severer as the absolute value of TC grows, as shown in Fig.4 (b) ...
Context 2
... shown in Fig. 5. (a), MDCNN is perfectly capable of sorting LG light with positive and negative TC with the same absolute value. As the absolute value of TC grows, the accuracy drops gradually. We believe this is because the crosstalk induced by atmospheric turbulence between channels gets severer as the absolute value of TC grows, as shown in Fig.4 (b) ...
Context 3
... shown in Fig. 5. (a), MFFCNN is perfectly capable of sorting LG light with positive and negative TC with the same absolute value. As the absolute value of TC grows, the accuracy drops gradually. This is because the crosstalk induced by atmospheric turbulence between channels gets severer as the absolute value of TC grows, as shown in Fig.4 (b) (e), which ...

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