Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer

Zhaoyong Wang; Zhengqing Pan; Qing Ye; Bin Lu; Zujie Fang; Haiwen Cai; Ronghui Qu

doi:doi:10.3788/COL201513.100603

Chinese Optics Letters, 2015, 13 (10): 100603, Published Online: Sep. 13, 2018

Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer Download： 1068次

Zhaoyong Wang ^1,2Zhengqing Pan ¹Qing Ye ^1,**Bin Lu ^1,2Zujie Fang ¹Haiwen Cai ^1,3,4,*Ronghui Qu ¹

Author Affiliations

¹ Shanghai Key Laboratory of All Solid-state Laser and Applied Techniques, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

² University of Chinese Academy of Sciences, Beijing 100049, China

³ Shanghai Synet Optics Technology Corporation, Shanghai 200135, China

⁴ Bandweaver Technologies Co. Ltd., Shanghai 201203, China

Figures & Tables

Fig. 1. (a) Experimental setup of Φ-OTDR; (b) photo of the experimental field; (c) installation structure of the sensing cable and the road (road cross section).

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Fig. 2. Original waterfall pattern.

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Fig. 3. DFSI pattern at the moment of the 10th second.

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Fig. 4. Short period frequency spectra at positions (a) with and (b) without cars running.

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Fig. 5. DFSI processed signal, integrated over (a) 20–100, (b) 30–100, (c) 40–100, (d) 50–100, and (e) 60–100 Hz, compared with the original detected signal (f); (g) signals, ground noise, the fluctuation of noise and FR for frequency integration ranges above.

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Table1. FRs in Different Processing Situations

	Original Waterfall	After DFSI	After DFSI & 2D Digital Sliding Filtering
FR	0	3	$> 6$

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Zhaoyong Wang, Zhengqing Pan, Qing Ye, Bin Lu, Zujie Fang, Haiwen Cai, Ronghui Qu. Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer[J]. Chinese Optics Letters, 2015, 13(10): 100603.

Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer Download： 1068次

Fig. 1. (a) Experimental setup of Φ-OTDR; (b) photo of the experimental field; (c) installation structure of the sensing cable and the road (road cross section).

Fig. 2. Original waterfall pattern.

Fig. 3. DFSI pattern at the moment of the 10th second.

Fig. 4. Short period frequency spectra at positions (a) with and (b) without cars running.

Fig. 5. DFSI processed signal, integrated over (a) 20–100, (b) 30–100, (c) 40–100, (d) 50–100, and (e) 60–100 Hz, compared with the original detected signal (f); (g) signals, ground noise, the fluctuation of noise and FR for frequency integration ranges above.

Fig. 6. DFSI processed waterfall pattern.

Fig. 7. 2D digital sliding filtering processed waterfall pattern.

Fig. 8. Waterfall detected for four cars running successively.

Table1. FRs in Different Processing Situations

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Novel distributed passive vehicle tracking technology using phase sensitive optical time domain reflectometer Download： 1068次

Fig. 1. (a) Experimental setup of Φ-OTDR; (b) photo of the experimental field; (c) installation structure of the sensing cable and the road (road cross section).

Fig. 2. Original waterfall pattern.

Fig. 3. DFSI pattern at the moment of the 10th second.

Fig. 4. Short period frequency spectra at positions (a) with and (b) without cars running.

Fig. 5. DFSI processed signal, integrated over (a) 20–100, (b) 30–100, (c) 40–100, (d) 50–100, and (e) 60–100 Hz, compared with the original detected signal (f); (g) signals, ground noise, the fluctuation of noise and FR for frequency integration ranges above.

Fig. 6. DFSI processed waterfall pattern.

Fig. 7. 2D digital sliding filtering processed waterfall pattern.

Fig. 8. Waterfall detected for four cars running successively.

Table1. FRs in Different Processing Situations

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