Overlapping Spectrum Classification and Demodulation of Fiber Bragg Grating Sensing Network Based on CWT-PSO Algorithm

Jinhua Hu; Bingli Zheng; Yujing Deng; Danping Ren; Jijun Zhao

doi:10.3788/LOP222432

Laser & Optoelectronics Progress, Volume. 60, Issue 21, 2106002(2023)

Overlapping Spectrum Classification and Demodulation of Fiber Bragg Grating Sensing Network Based on CWT-PSO Algorithm

Jinhua Hu^1,2、*, Bingli Zheng¹, Yujing Deng¹, Danping Ren^1,2, and Jijun Zhao^1,2

Author Affiliations

¹School of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, Hebei , China

²Hebei Key Laboratory of Security Protection Information Sensing and Processing, Handan 056038, Hebei , China

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Figures & Tables(10)

Fig. 1. Schematic diagram of FBG sensing system with flexible number of nodes

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Fig. 2. FBG overlapping spectral signals and its CWT signals. (a) FBG spectral signals with different degrees of overlap; (b) CWT signals under different scale factors

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Fig. 3. Change of extreme points of CWT signal under different degrees of overlap. (a) Extreme points of CWT signal of partially overlapped spectra vary with different degrees of overlap; (b) ratio of extreme points at different center wavelength gaps

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Fig. 4. Flow chart of proposed algorithm

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Fig. 5. Influence of different parameters on demodulation error. (a) FBG spectral signals under different degrees of overlap; (b) average detection error under different iterations; (c) average detection error under different population sizes; (d) average detection error under different weight factors

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Fig. 6. Peak detection error under different degrees of overlap. (a) FBG spectral signals under different degrees of overlap; (b) average detection error of each peak

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Fig. 7. FBG overlapping spectrum signals

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Table 1. Classification results of FBG verlapping spectra under different degrees of overlap

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Table 1. Classification results of FBG verlapping spectra under different degrees of overlap

Peak	λ_B_i /nm	L_i /nm	$r_{i}^{'}$	Overlap
1	1548.325	0.222	0.999	Non
2	1549.614	0.222	0.997	Non
3	1550.953	0.182	1.008	Partial
4	1551.219	0.182	1.008	Partial
5	1552.941	0.188	1.032	Partial
6	1553.171	0.190	1.032	Partial
7	1555.274	0.264	1.579	Complete
8	1555.392	0.264	1.579	Complete

Table 2. Comparison of demodulation errors of different algorithms

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Table 2. Comparison of demodulation errors of different algorithms

	Average error /pm								Average time /s
	FBG1	FBG2	FBG3	FBG4	FBG5	FBG6	FBG7	FBG8	Average time /s
Mexh-CWT	$-$ 8.2	6.2	$-$ 6.8	1.8	$-$ 9.2	6.4	$-$ 13.6	9.2	0.084
PSO	$-$ 0.8	$-$ 0.2	0.4	0	0.2	0.2	$-$ 1.8	$-$ 0.8	5.437
DPSO	0	$-$ 0.2	$-$ 0.4	0	0	$-$ 0.8	0.4	0.2	3.851
SSA	$-$ 0.07	0.12	0.15	0.04	0.05	0.18	$-$ 0.12	$-$ 0.02	4.327
CWT-PSO	$-$ 0.23	0.01	$-$ 3.48	3.10	$-$ 0.17	$-$ 0.07	0.20	0.20	1.521

Table 3. Comparison of FBG demodulation errors of different algorithms on channel 2

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Table 3. Comparison of FBG demodulation errors of different algorithms on channel 2

	Average error /pm						Average time /s
	FBG1	FBG2	FBG3	FBG4	FBG5	FBG6	Average time /s
Mexh-CWT	$-$ 4.6	$-$ 3.2	$-$ 5.2	2.6	$-$ 5.4	4.0	0.109
PSO	0.2	0	$-$ 0.8	0.4	0	$-$ 1.0	3.736
DPSO	0.4	0.2	0.2	0	0	0	3.551
SSA	0.06	0.13	$-$ 0.05	0.09	0.12	$-$ 0.05	2.448
CWT-PSO	$-$ 2.10	2.09	$-$ 3.40	3.29	$-$ 2.47	2.49	0.958

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Jinhua Hu, Bingli Zheng, Yujing Deng, Danping Ren, Jijun Zhao. Overlapping Spectrum Classification and Demodulation of Fiber Bragg Grating Sensing Network Based on CWT-PSO Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(21): 2106002

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Paper Information

Category: Fiber Optics and Optical Communications

Received: Aug. 31, 2022

Accepted: Nov. 8, 2022

Published Online: Oct. 26, 2023

The Author Email: Jinhua Hu (hujh84@hebeu.edu.cn)

DOI:10.3788/LOP222432

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology