[1] Dardari D, Closas P, Djuric P M. Indoor tracking theory, methods, and technologies [J]. IEEE Transactions on Vehicular Technology, 2015, 64(4): 1263-1278. doi:  10.1109/TVT.2015.2403868
[2] Du Z H, Chen X F, Zhang H, et al. Feature identification with compressive measurements for machine fault diagnosis [J]. IEEE Transactions on Instrumentation and Measurement, 2016, 65(5): 977-987. doi:  10.1109/TIM.2016.2521223
[3] Lindsey N J, Martin E R, Dreger D S, et al. Fiber-optic network observations of earthquake wavefields [J]. Geophys Res Lett, 2017, 44(23): 1792-1799.
[4] Wu H J, Chen J P, Liu X R, et al. One-dimensional CNN-based intelligent recognition of vibrations in pipeline monitoring with DAS [J]. J Light Technol, 2019, 37(17): 4359-4366. doi:  10.1109/JLT.2019.2923839
[5] Chen X, Xu C J. Disturbance pattern recognition based on an ALSTM in a long-distance φ-OTDR sensing system [J]. Microw Opt Technol Lett, 2020, 62(1): 168-175. doi:  10.1002/mop.32025
[6] Yang X F, Cheng Y Y, Wang G. Super-resolution algorithm for remote sensing images based on compressive sensing in wavelet domain [J]. Journal of Computer Applications, 2017, 37(5): 1430-1433.
[7] Liu Y, Tang W, Liu B Q. Data sparse analysis and improved reconstruction algorithm of power quality disturbance based on compressed sensing [J]. Transactions of China Electro-technical Society, 2018, 15(8): 3461-3470.
[8] 张永康, 尚盈, 王晨, 等. 分布式光纤入侵信号检测与识别[J] . 光电工程, 2021, 48(3): 16-33.

Zhang Y K, Shang Ying, Wang Chen, et al. Detection and recognition of distributed optical fiber intrusion signal [J]. Opto- Electronic Engineering, 2021, 48(3): 16-33. (in Chinese)
[9] 张旭苹, 丁哲文, 洪瑞, 等. 相位敏感光时域反射分布式光纤传感技术[J]. 光学学报, 2021, 41(1): 93-107. doi:  10.3788/AOS202141.0106004

Zhang X P, Ding Zh W, Hong R, et al. Phase sensitive optical time-domain reflective distributed optical fiber sensing technology [J]. Acta Optica Sinica, 2021, 41(1): 0106004. (in Chinese) doi:  10.3788/AOS202141.0106004
[10] 黄翔东, 王碧瑶, 刘琨, 等. 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): 195-202. doi:  10.3788/cjl202047.1006004

Huang X D, Wang B Y, Liu Kun, et al. Intrusion event identification for fiber perimeter security system based on arma modeling and sigmoid fitting [J]. Chinese Journal of Lasers, 2020, 47(10): 1006004. (in Chinese) doi:  10.3788/cjl202047.1006004
[11] 邹柏贤, 许少武, 苗军, 等. 光纤安防系统中振动信号的特征提取和识别[J]. 计算机研究与发展, 2019, 56(9): 1859-1871. doi:  10.7544/issn1000-1239.2019.20180382

Zhou B X, Xu Sh W, Miao J, et al. Feature extraction and recognition of vibration signals in optical fiber security system [J]. Journal of Computer Research and Development, 2019, 56(9): 1859-1871. (in Chinese) doi:  10.7544/issn1000-1239.2019.20180382
[12] 刘畅, 王双, 梁应剑, 等. 光纤法珀压力传感系统设计与风洞初步实验[J]. 红外与激光工程, 2018, 47(07): 290-296. doi:  10.3788/IRLA201847.0722002

Liu C, Wang S, Liang Y J, et al. Design and preliminary experiment of optical fiber F-P pressure sensing system working in wind tunnel [J]. Infrared and Laser Engineering, 2018, 47(7): 0722002. (in Chinese) doi:  10.3788/IRLA201847.0722002
[13] Li Z Q, Zhang J W, Wang M N, et al. Fiber distributed acoustic sensing using convolutional long short-term memory network: a field test on high-speed railway intrusion detection [J]. Opt Express, 2020, 28(3): 2925-2938. doi:  10.1364/OE.28.002925
[14] Bao X Y, Zhou D P, Baker C, et al. Recent development in the distributed fiber optic acoustic and ultrasonic detection [J]. J Light Technol, 2017, 35(16): 3256-3267. doi:  10.1109/JLT.2016.2612060
[15] Tejedor J, Martins H F, Piote D, et al. Toward prevention of pipeline integrity threats using a smart fiber-optic surveillance system [J]. J Light Technology, 2016, 34(19): 4445-4453. doi:  10.1109/JLT.2016.2542981