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Intrusion Event Identification for Fiber Perimeter Security System Based on ARMA Modeling and Sigmoid Fitting

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In a practical optical fiber perimeter security system, not only the discrimination of multiple events but also the comprehensive probability evaluation of these events is required. Therefore, this paper proposes a recognition scheme combining autoregressive moving average (ARMA) modeling with Sigmoid probability fitting. In event discrimination, both the ARMA coefficients and the zero-crossing rate of an optical fiber vibration signal are incorporated into a feature vector, which is then fed into a support vector machine (SVM) to recognize six types of common intrusion events: climbing, knocking, waggling, cutting, kicking, and crashing. In comprehensive probability evaluation, the SVM training pattern outputs are used to fit the parameters of a Sigmoid function. Then, the SVM outputs of the test patterns are substituted into this fitted Sigmoid model to yield the expected result. Field experiments reveal that the average recognition rate of six intrusion events by the proposed scheme reaches 87.14%. Moreover, the occurrence probabilities of all intrusion events can be provided as references, thereby presenting vast potential for future applications.

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作者单位    点击查看

黄翔东:天津大学电气自动化与信息工程学院, 天津 300072
王碧瑶:天津大学电气自动化与信息工程学院, 天津 300072
刘琨:天津大学精密仪器与光电子工程学院, 天津 300072
刘铁根:天津大学精密仪器与光电子工程学院, 天津 300072

联系人作者:黄翔东(beiyangkl@tju.edu.cn); 王碧瑶(beiyangkl@tju.edu.cn); 刘琨(beiyangkl@tju.edu.cn);


【1】Liu X, Jin B Q, Bai Q, et al. Distributed fiber-optic sensors for vibration detection [J]. Sensors. 2016, 16(8): 1164.Liu X, Jin B Q, Bai Q, et al. Distributed fiber-optic sensors for vibration detection [J]. Sensors. 2016, 16(8): 1164.

【2】Postolache O A, Faria J A B, et al. An overview and a contribution to the optical measurement of linear displacement [J]. IEEE Sensors Journal. 2001, 1(4): 322-331.

【3】Gong H P, Song H F, Zhang S L, et al. Curvature sensor based on hollow-core photonic crystal fiber Sagnac interferometer [J]. IEEE Sensors Journal. 2014, 14(3): 777-780.

【4】Sun Q Z, Liu D M, Liu H R, et al. Distributed disturbance sensor based on a novel Mach-Zehnder interferometer with a fiber-loop [J]. Proceedings of SPIE. 2005, 6344: 63440K.

【5】Liu D, Shum P. Distributed fiber-optic sensor with a ring Mach-Zehnder interferometer [J]. Proceedings of SPIE. 2007, 6781: 67814D.

【6】Yu S Y, Sun S L. The design of multi-wireless infrared detectors and intelligent burglary-resisting system [J]. Laser & Infrared. 2008, 38(4): 345-347.
于胜云, 孙胜利. 多路无线红外探测智能安防系统设计 [J]. 激光与红外. 2008, 38(4): 345-347.

【7】Fan Z M. Design principle and application status of tension electronic fence perimeter protection alarm system China Security & Protection[J]. 0, 2008(3): 42-45.
樊治敏. 张力式电子围栏周界防范报警系统设计原理及应用现状 中国安防[J]. 0, 2008(3): 42-45.

【8】Xie S R, Zhang M, Lai S R, et al. Positioning method for dual Mach-Zehnder interferometric submarine cable security system [J]. Proceedings of SPIE. 2010, 7677: 76770A.

【9】Jiang L H, Yang R Y. Identification technique for the intrusion of airport enclosure based on double Mach-Zehnder interferometer [J]. Journal of Computers. 2012, 7(6): 1453-1459.

【10】Juarez J C, Maier E W, Choi K N, et al. Distributed fiber-optic intrusion sensor system [J]. Journal of Lightwave Technology. 2005, 23(6): 2081-2087.

【11】Xie S R, Zou Q L, Wang L W, et al. Positioning error prediction theory for dual Mach-Zehnder interferometric vibration sensor [J]. Journal of Lightwave Technology. 2011, 29(3): 362-368.

【12】Huang X D, Yu J, Liu K, et al. Configurable filter-based endpoint detection in DMZI vibration system [J]. IEEE Photonics Technology Letters. 2014, 26(19): 1956-1959.

【13】Liu L, Sun W, Zhou Y, et al. Security event classification method for fiber-optic perimeter security system based on optimized incremental support vector machine . [C]∥Li S, Liu C, Wang Y. Pattern Recognition, CCPR 2014. Communications in Computer and Information Science. Berlin, Heidelberg: Springer. 2014, 484: 595-603.

【14】Qu H Q, Zheng T, Pang L P, et al. A new detection and recognition method for optical fiber pre-warning system [J]. Optik. 2017, 137: 209-219.

【15】Liu K, Tian M, Liu T G, et al. A high-efficiency multiple events discrimination method in optical fiber perimeter security system [J]. Journal of Lightwave Technology. 2015, 33(23): 4885-4890.

【16】Chen Y, An W Y, Liu H L, et al. Application of improved empirical mode decomposition algorithm in fiber Bragg grating perimeter intrusion behaviors classification [J]. Chinese Journal of Lasers. 2019, 46(3): 0304003.
陈勇, 安汪悦, 刘焕淋, 等. 改进经验模态分解算法在光纤布拉格光栅周界入侵行为分类中的应用 [J]. 中国激光. 2019, 46(3): 0304003.

【17】Li K Y, Zhao X Q, Sun X H, et al. A regular composite feature extraction method for vibration signal pattern recognition in optical fiber link system [J]. Acta Physica Sinica. 2015, 64(5): 054304.
李凯彦, 赵兴群, 孙小菡, 等. 一种用于光纤链路振动信号模式识别的规整化复合特征提取方法 [J]. 物理学报. 2015, 64(5): 054304.

【18】Huan H X. Hien D T T, Tue H H. Efficient algorithm for training interpolation RBF networks with equally spaced nodes [J]. IEEE Transactions on Neural Networks. 2011, 22(6): 982-988.

【19】Lyons W B, Ewald H, Lewis E. An optical fibre distributed sensor based on pattern recognition [J]. Journal of Materials Processing Technology. 2002, 127(1): 23-30.

【20】Chen P C, You C T, Ding P F. Pattern recognition of intrusion events in perimeter defense areas of optical fiber [J]. Chinese Journal of Lasers. 2019, 46(10): 1006001.
陈沛超, 游赐天, 丁攀峰. 光纤周界防区入侵事件的模式识别研究 [J]. 中国激光. 2019, 46(10): 1006001.

【21】Huang S J, Shih K R. Short-term load forecasting via ARMA model identification including non-Gaussian process considerations [J]. IEEE Transactions on Power Systems. 2003, 18(2): 673-679.

【22】Erdem E, Shi J. ARMA based approaches for forecasting the tuple of wind speed and direction [J]. Applied Energy. 2011, 88(4): 1405-1414.

【23】Chen Q N, Liu T G, Liu K, et al. An elimination method of polarization-induced phase shift and fading in dual Mach-Zehnder interferometry disturbance sensing system [J]. Journal of Lightwave Technology. 2013, 31(19): 3135-3141.

【24】Huang X D, Wang Y D, Liu K, et al. Event discrimination of fiber disturbance based on filter bank in DMZI sensing system [J]. IEEE Photonics Journal. 2016, 8(3): 1-14.

【25】Liu K, Weng L F, Jiang J F, et al. Zero-crossing rate based efficient identification of intrusion events in fiber perimeter security systems [J]. Acta Optica Sinica. 2019, 39(11): 1106002.
刘琨, 翁凌锋, 江俊峰, 等. 基于过零率的光纤周界安防系统入侵事件高效识别 [J]. 光学学报. 2019, 39(11): 1106002.

【26】Smola A J, Bartlett P, Sch?lkopf B, et al. Probabilities for SV machines[M]. Cambridge: , 2000, 61-74.


Huang Xiangdong,Wang Biyao,Liu Kun,Liu Tiegen. Intrusion Event Identification for Fiber Perimeter Security System Based on ARMA Modeling and Sigmoid Fitting[J]. Chinese Journal of Lasers, 2020, 47(10): 1006004

黄翔东,王碧瑶,刘琨,刘铁根. 基于ARMA建模与Sigmoid拟合的光纤周界安防入侵事件识别[J]. 中国激光, 2020, 47(10): 1006004

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