Xinglong Xiong, Wantong Zhang, Meng Li, Yuzhao Ma, shuai Feng. Fiber-Optic Perimeter Vibration Signal Recognition Based on Local Mean Decomposition and Serial Feature Fusion[J]. Acta Optica Sinica, 2019, 39(2): 0206002
- Acta Optica Sinica
- Vol. 39, Issue 2, 0206002 (2019)
Fig. 1. Fiber-optic perimeter system based on Mach-Zehnder interferometry
Fig. 2. Processing of LMD-ICA
Fig. 3. Structural diagram of PNN network
Fig. 4. Four typical waveforms of vibration signal. (a) Vibration signal of climbing; (b) vibration signal of knocking; (c) vibration signal of car; (d) vibration signal of natural wind
Fig. 5. Comparison of the results of additive reconstruction and ICA reconstruction. (a) Original signal; (b) ICA reconstructed signal; (c) additive reconstructed signal
Fig. 6. Feature distributions of different vibration signals. (a) Distribution of K; (b) distribution of Z; (c) distribution of H; (d) distribution of Eapen
Fig. 7. Waveforms of different vibration signals in interference environment. (a) Vibration signal in rain; (b) climbing signal in rain; (c) knocking signal in rain
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Table 1. Effect comparison of the two reconstruction methods
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Table 2. Feature list of four kinds of signals
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Table 3. Recognition results based on different features
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Table 4. Recognition results of two methods
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Table 5. Feature list of vibration signals in rain
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Table 6. Recognition results of two methods in rain
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