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The high-precision structural health monitoring of large civil structures and materials are increasingly demanded with widely using the distributed fiber sensors. A Brillouin optical correlation domain analysis for millimeter-levelhigh spatial resolution sensing using broadband chaotic laser is proposed and demonstrated. Through the analysis of the influence of polarization state and feedback strength on the chaotic laser, we experimentally achieve a broadband chaotic laser with a spectrum over 7.5 GHz in –3 dB which means that the theoretical spatial resolution is 3 mm, and we also successfully measure the distribution of fiber Brillouin gain spectrum with a temperature over 300 m measurement range with 7.05 mm spatial resolution, which is the first time that the sensor system based on chaotic laser has achieved the measurement with millimeter-level. However, there is still a difference in spatial resolution between the experimental and theoretical values. We can find that the chaotic laser has a time-delay feature; besides, with the broadening of chaotic laser, the threshold of stimulated Brillouin scattering in optical fibers increases while the Brillouin gain will weaken if the pump power is not enough here, and the cross-correlation peak of chaotic laser will narrow. All these problems cause the Brillouin gain signal to be easily submerged by noise, so the performance of the chaotic Brillouin optical correlation domain analysis system will decrease ultimately. Therefore, we also propose an optimization of Brillouin optical correlation domain analysis system by introducing the time-gated scheme into pump branch. It is obvious that the peak power of the pump wave is heightened by more than 9.5 dB after being amplitude-modulated by a square pulse with a pulse width of greater than acoustic phonon lifetime, and the signal-to-back ground noise ratio of the gain spectrum is improved effectively in theory; the cross correlation between chaotic pump wave and probe waveis locked within a pulse duration time, and the residual stimulated Brillouin scattering interactions existing outside the central correlation peak can be largely inhibited. In this optimized setup, the performance of the distributed temperature sensing is improved to 3.12 mm spatial resolution, which corresponds well to the theoretical value. The improved chaotic Brillouin optical correlation domain analysis technology will have a great potential application in high-precision structural health monitoring of large civil structures.
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Keywords:
- broadband chaotic laser /
- millimeter-level spatial resolution /
- Brillouin optical correlation domain analysis /
- temperature measurement
[1] António B, Joan C, Sergi V 2016 Sensors 16 748Google Scholar
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[15] Ji Y N, Zhang M J, Wang Y C, Wang P, Wang A B, Wu Y, Xu H, Zhang Y N 2014 Int. J. Bifurcat. Chaos 24 1450032Google Scholar
[16] Zhang J Z, Zhang M T, Zhang M J, Liu Y, Feng C K, Wang Y H, Wang Y C 2018 Opt. Lett. 43 1722Google Scholar
[17] Zhang J Z, Feng C K, Zhang M J, Liu Y, Wu C Y, Wang Y H 2018 Opt. Express 26 6962Google Scholar
[18] Zhang J Z, Wang Y H, Zhang M J, Zhang Q, Li M W, Wu C Y, Qiao L J, Wang Y C 2018 Opt. Express 26 17597Google Scholar
[19] Jeong J H, Lee K, Song K Y, Jeong J M, Lee S B 2012 Opt. Express 20 27094Google Scholar
[20] 王安帮 2014 博士学位论文 (太原: 太原理工大学)
Wang A B 2014 Ph. D. Dissertation (Taiyuan: Taiyuan University of Technology) (in Chinese)
[21] Zhang J Z, Wang A B, Wang J F, Wang Y C 2009 Opt. Express 17 6357Google Scholar
[22] Zhang M J, Liu H, Zhang J Z, Liu Y, Liu R X 2017 IEEE Photon. J. 9 1943
[23] Parker T, Farhadiroushan M, Handerek V A 1997 Proceedings of IEE Colloquium on Optical Techniques for Smart Structures and Structural Monitoring London, UK, February 17, 1997 p1
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[1] António B, Joan C, Sergi V 2016 Sensors 16 748Google Scholar
[2] Bao X Y, Chen L 2011 Sensors 11 4152Google Scholar
[3] Thévenaz L 2010 Front. Optoelectron. China 3 13Google Scholar
[4] Kurashima T, Horiguchi T, Tateda M 1990 Opt. Lett. 15 1038Google Scholar
[5] Hu J H, Zhang X P, Yao Y G, Zhao X D 2013 Opt. Express 21 145Google Scholar
[6] Kim Y H, Song K Y 2017 Opt. Express 25 14098Google Scholar
[7] Soto M A, Bolognini G, Pasquale F D 2011 Opt. Lett. 36 232Google Scholar
[8] Li W H, Bao X Y, Li Y, Chen L 2008 Opt. Express 16 21616Google Scholar
[9] Brown A W 2007 J. Lightw. Technol. 25 381Google Scholar
[10] Hotate K, Arai H, Song K Y 2008 Sice J. Control Measur. Syst. Integrat. 1 271Google Scholar
[11] Hotate K, Hasegawa T 2000 IEICE Trans. Electron. 83 405
[12] Ryu G, Kim G T, Song K Y, Lee S B, Lee K 2017 J. Lightw. Technol. 35 5311Google Scholar
[13] Zadok A, Antman Y, Primerov N, Denisov A, Sancho J, Thévenaz L 2012 Laser Photon. Rev. 6 L1Google Scholar
[14] Cohen R, London Y, Antman Y, Zadok A 2014 Opt. Express 22 12070Google Scholar
[15] Ji Y N, Zhang M J, Wang Y C, Wang P, Wang A B, Wu Y, Xu H, Zhang Y N 2014 Int. J. Bifurcat. Chaos 24 1450032Google Scholar
[16] Zhang J Z, Zhang M T, Zhang M J, Liu Y, Feng C K, Wang Y H, Wang Y C 2018 Opt. Lett. 43 1722Google Scholar
[17] Zhang J Z, Feng C K, Zhang M J, Liu Y, Wu C Y, Wang Y H 2018 Opt. Express 26 6962Google Scholar
[18] Zhang J Z, Wang Y H, Zhang M J, Zhang Q, Li M W, Wu C Y, Qiao L J, Wang Y C 2018 Opt. Express 26 17597Google Scholar
[19] Jeong J H, Lee K, Song K Y, Jeong J M, Lee S B 2012 Opt. Express 20 27094Google Scholar
[20] 王安帮 2014 博士学位论文 (太原: 太原理工大学)
Wang A B 2014 Ph. D. Dissertation (Taiyuan: Taiyuan University of Technology) (in Chinese)
[21] Zhang J Z, Wang A B, Wang J F, Wang Y C 2009 Opt. Express 17 6357Google Scholar
[22] Zhang M J, Liu H, Zhang J Z, Liu Y, Liu R X 2017 IEEE Photon. J. 9 1943
[23] Parker T, Farhadiroushan M, Handerek V A 1997 Proceedings of IEE Colloquium on Optical Techniques for Smart Structures and Structural Monitoring London, UK, February 17, 1997 p1
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