Hongquan Qu, Zhengyi Wang, Zhiyong Sheng. Fiber Intrusion Signal Classification Based on Fourier Decomposition and Permutation Entropy Noise Reduction Method[J]. Laser & Optoelectronics Progress, 2022, 59(11): 1106001
- Laser & Optoelectronics Progress
- Vol. 59, Issue 11, 1106001 (2022)
Fig. 1. Flow chart of the optical fiber intrusion signal feature extraction and recognition algorithm
Fig. 2. Original signal of the trot signal
Fig. 3. Decomposition results of the trot signal. (a) FDM; (b) EEMD
Fig. 4. Reconstruction results of the trot signal. (a) Fourier decomposition and permutation entropy; (b) EEMD and permutation entropy
Fig. 5. Original fiber intrusion signal and reconstruction result. (a) Trot signal; (b) tapping signal; (c) passing signal
Fig. 6. Two-dimensional characteristic distribution of fiber intrusion signal
Fig. 7. Confusion matrix
Fig. 8. Recognition rate of fiber intrusion signal based on two feature extraction methods
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Table 1. Permutation entropy of some FIBF components
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Table 2. Permutation entropy of some IMF components
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Table 3. Average time-consuming of different feature extraction methods
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