Optical Fiber Technology最新文献_第2页

Stable mode-locking in extended cavities: A low-threshold EDFL empowered by AFI-zeolite-synthesized carbon nanotubes 扩展腔中的稳定模式锁定：由afi -沸石合成的碳纳米管增强的低阈值EDFL

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-06 DOI: 10.1016/j.yofte.2026.104557

Zhongxin Lin , Yuxiaoting Fan , Zihe Fan , Qi Zhao , Lang Sun , Shuangchen Ruan , Dalin Sun , Xintong Xu

Ultrafast erbium-doped fiber lasers (EDFLs) operating at 1.5 μm were essential for advanced photonic applications. Beyond merely pursuing the shortest pulse width, developing EDFLs with robust environmental adaptability and reliable operation under practical conditions has become a critical challenge for real-world deployment. We reported an erbium-doped fiber laser based on a novel carbon nanotube saturable absorber (CNT-SA), which achieved self-starting mode-locking at a pump power as low as 40 mW and, more importantly, exhibited exceptional robustness against cavity dispersion variations--a critical yet often overlooked attribute for practical ultrafast laser sources. The CNT-SA, engineered via hydrothermal synthesis using an AFI zeolite template, not only provided the laser with a low threshold advantage but, more importantly, its broadband response and ultrafast recovery dynamics enabled the laser to maintain stable mode-locked operation even when the cavity length was actively adjusted by over 40 m, with a spectral shift of less than 4 nm. This ability to combine low-power self-starting with superior dispersion tolerance had not been reported in previous studies, offering an ideal solution for applications requiring long cavities or environmental stability, such as distributed sensing and high-energy pulse accumulation systems. This work, therefore, prioritizes the balance among low threshold, high stability, and strong dispersion tolerance, aiming to bridge the gap between laboratory performance benchmarks and application-ready ultrafast sources.

超快掺铒光纤激光器（edfl）工作在1.5 μm是必不可少的先进光子应用。除了追求最短的脉冲宽度之外，开发具有强大环境适应性和在实际条件下可靠运行的edfl已经成为实际部署的关键挑战。我们报道了一种基于新型碳纳米管可饱和吸收体（CNT-SA）的掺铒光纤激光器，它在低至40 mW的泵浦功率下实现了自启动锁模，更重要的是，它对腔色散变化表现出了出色的鲁棒性——这是实际超快激光源的一个关键但经常被忽视的属性。利用AFI沸石模板水热合成的CNT-SA不仅为激光器提供了低阈值优势，更重要的是，它的宽带响应和超快恢复动力学使激光器即使在腔长主动调节超过40 m，光谱位移小于4 nm的情况下也能保持稳定的锁模操作。这种将低功耗自启动与优异的色散耐受性相结合的能力在以前的研究中没有报道过，为需要长腔或环境稳定性的应用提供了理想的解决方案，例如分布式传感和高能脉冲积累系统。因此，这项工作优先考虑低阈值、高稳定性和强色散容忍之间的平衡，旨在弥合实验室性能基准和应用就绪的超快源之间的差距。

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引用次数: 0

Graphene oxide-based microfiber coupler for Q-switched fiber lasers 基于氧化石墨烯的调q光纤激光器微光纤耦合器

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-05 DOI: 10.1016/j.yofte.2025.104532

Abubakar Sani , Norita Mohd Yusoff , Rizal Ramli , Mohd Zul Hilmi Mayzan , Mohammed Thamer Alresheedi , Ahmad Rifqi Md Zain , Farah Diana Muhammad , Mohd Adzir Mahdi

We demonstrate a passively Q-switched fiber laser utilizing a dual-functional device: a microfiber coupler integrated with a graphene oxide/polydimethylsiloxane composite. This composite acts simultaneously as a saturable absorber and a power splitter. This fabricated device, which utilized evanescent-wave interaction within the 5 mm fused region, exhibited a 5.25% modulation depth and an 84/16 coupling ratio. A stable Q-switched fiber laser was achieved with a pump power range of 102.15 to 177.44 mW, producing an emission at a central wavelength of 1.53 μm. The laser’s pulse repetition rate was tunable from 27.78 to 54.85 kHz, with a minimum pulse width of 8.21 µs and a maximum pulse energy of 60.62 nJ. This work represents an advancement in compact and high-energy photonic devices for various practical applications.

我们展示了一种使用双功能器件的被动调q光纤激光器：集成了氧化石墨烯/聚二甲基硅氧烷复合材料的微光纤耦合器。这种复合材料同时充当饱和吸收剂和功率分配器。该器件利用了5 mm熔合区内的倏逝波相互作用，调制深度为5.25%，耦合比为84/16。在102.15 ~ 177.44 mW的泵浦功率范围内，实现了稳定的调q光纤激光器，中心波长为1.53 μm。脉冲重复频率在27.78 ~ 54.85 kHz范围内可调，最小脉冲宽度为8.21µs，最大脉冲能量为60.62 nJ。这项工作代表了紧凑型高能光子器件在各种实际应用中的进步。

引用次数: 0

Application-aware MAC scheduling for XR over EPON-based 6G-backhaul 基于epg的6g回程XR的应用感知MAC调度

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-03 DOI: 10.1016/j.yofte.2025.104545

Sourav Dutta , Dibbendu Roy , Moyukh Laha , Goutam Das

The 3rd Generation Partnership Project (3GPP) has recognized eXtended Reality (XR) as a key use case for 5G and beyond. However, supporting XR services over such networks is challenging due to their stringent latency, reliability, and data rate requirements. Conventional Dynamic Bandwidth Allocation (DBA) protocols in Ethernet Passive Optical Networks (EPONs) fail to efficiently support the stringent delay-reliability requirements of data-intensive, bursty XR traffic, resulting in poor network utilization. To overcome these limitations, this paper proposes an application-aware cross-layer scheduling philosophy that links Media Access Control (MAC)-layer bandwidth allocation with application-layer dynamics. From the application perspective, variations in XR frame content arise from human activity, making consecutive frames highly correlated. Exploiting this correlation, the proposed “Application-aware MAC” scheduling framework employs AI-based frame prediction at the edge server to enhance delay reliability. To minimize prediction error, the original inter-arrival pattern of XR frames must be preserved. However, EPON scheduling introduces differential delays that distort this pattern. To address this, a novel MAC scheduling scheme is designed that coordinates with play-off buffers at the edge server to manage these differential delays and reconstruct the original inter-arrival pattern, thereby enabling accurate prediction and delay-reliable transmission. Simulation results show that the proposed method achieves up to a ten-fold improvement in XR user supportability compared to the DiffServ approach and about a three-fold gain over a Greedy Earliest-Deadline-First scheduler for a data rate and frame rate of 60 Mbps and 60 fps, respectively, with only negligible prediction error at the application layer.

第三代合作伙伴计划（3GPP）已经将扩展现实（XR）视为5G及以后的关键用例。然而，在这样的网络上支持XR服务具有挑战性，因为它们具有严格的延迟、可靠性和数据速率要求。以太网无源光网络（epon）中传统的DBA （Dynamic Bandwidth Allocation）协议无法有效支持数据密集型、突发XR业务对时延可靠性的严格要求，导致网络利用率不高。为了克服这些限制，本文提出了一种应用感知的跨层调度理念，将媒体访问控制（MAC）层带宽分配与应用层动态联系起来。从应用角度来看，XR帧内容的变化源于人类活动，使得连续帧高度相关。利用这种相关性，提出的“应用感知MAC”调度框架在边缘服务器上采用基于人工智能的帧预测来提高延迟可靠性。为了使预测误差最小化，必须保留XR帧的原始到达间模式。然而，EPON调度引入了不同的延迟，扭曲了这种模式。为了解决这个问题，设计了一种新的MAC调度方案，该方案与边缘服务器上的加赛缓冲区协调，以管理这些差异延迟并重建原始的到达间模式，从而实现准确的预测和延迟可靠的传输。仿真结果表明，在数据速率和帧速率分别为60mbps和60fps的情况下，所提出的方法在XR用户可支持性方面比DiffServ方法提高了10倍，比贪婪的最早截止日期优先调度程序提高了3倍，在应用层的预测误差可以忽略不计。

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引用次数: 0

Low-crosstalk compact fiber-optic temperature-salt sensor based on dual-cavity functional partitioning design in a single tube 基于单管双腔功能分配设计的低串扰紧凑型光纤温盐传感器

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-03 DOI: 10.1016/j.yofte.2025.104548

Yanxia Chen , Fengyuan Chen , Xinhong Huang , Yantai Liang , Shuangqiang Liu , Le Luo

The present study puts forward an optical fiber sensor utilizing the Fabry-Perot interferometer (FPI) for simultaneous temperature and salinity measurement, which adopts a dual-cavity structure integrated within a single tube. Functional partitioning design resolves temperature-salinity crosstalk issues. The sensor employs a quartz capillary tube (SCT) to construct a cascaded structure comprising a UV-cured resin cavity (FPI₁) and a polyimide-coated gas cavity (FPI₂). It leverages the thermal expansion effect of the UV-cured resin and the salt-induced swelling effect of polyimide to realize measuring temperature and salinity simultaneously. Through finite element analysis, the polyimide film thickness and cavity length are optimized to minimize temperature-salinity crosstalk while balancing salinity sensitivity and response time, yielding optimal response characteristics: FPI₁ exhibits sensitivity of 0.77 nm/°C for temperature and 0.078 nm/% for salinity, while FPI₂ exhibited sensitivities of −0.038 nm/°C and −0.25 nm/%. To validate the theoretical analysis, experimental testing of the temperature-salinity response characteristics and stability of both FPI sensors reveals that FPI₁ demonstrated sensitivities with values of 0.72 nm/°C and 0.076 nm/%, while FPI₂ exhibits sensitivities with values of −0.04 nm/°C and −0.29 nm/%. Stability tests reveal maximum wavelength drifts of 0.08 nm and 0.04 nm under the temperature condition of 30 °C and salinity condition of 2 %, corresponding to measurement errors of 0.11 °C and 0.14 % for temperature and salinity, respectively. In repeatability experiments, the relative standard deviations for temperature and salinity sensitivities are 2 % and 0.52 %, respectively, demonstrating excellent stability and reproducibility. This study innovatively proposes a novel high-sensitivity, low-crosstalk solution for simultaneous temperature-salinity measurement based on a dual-cavity structure integrated within a single tube. It effectively overcomes challenges in traditional marine environmental monitoring, such as parameter coupling interference and insufficient sensitivity, providing a superior new technical pathway for precise sensing of ocean temperature-salinity fields.

本研究提出了一种利用Fabry-Perot干涉仪（FPI）同时测量温度和盐度的光纤传感器，该传感器采用双腔结构集成在单管内。功能分区设计解决了温度-盐度串扰问题。该传感器采用石英毛细管（SCT）构建级联结构，包括uv固化树脂腔（FPI1）和聚酰亚胺涂层气腔（FPI2）。它利用了光固化树脂的热膨胀效应和聚酰亚胺的盐致膨胀效应，实现了温度和盐度的同时测量。通过有限元分析，优化了聚酰亚胺薄膜厚度和腔长，以最大限度地减少温度-盐度串扰，同时平衡了盐度灵敏度和响应时间，得到了最佳的响应特性：FPI1对温度和盐度的灵敏度分别为0.77 nm/°C和0.078 nm/%，而FPI2的灵敏度分别为- 0.038 nm/°C和- 0.25 nm/%。为了验证理论分析，对两种FPI传感器的温度-盐度响应特性和稳定性进行了实验测试，结果表明，FPI1的灵敏度为0.72 nm/°C和0.076 nm/%，而FPI2的灵敏度为- 0.04 nm/°C和- 0.29 nm/%。稳定性测试表明，在温度为30℃、盐度为2%的条件下，最大波长漂移为0.08 nm和0.04 nm，对应于温度和盐度的测量误差分别为0.11℃和0.14%。在重复性实验中，温度灵敏度和盐度灵敏度的相对标准偏差分别为2%和0.52%，具有良好的稳定性和重复性。本研究创新性地提出了一种基于单管内集成双腔结构的新型高灵敏度、低串扰同时测量温度-盐度的解决方案。它有效地克服了传统海洋环境监测中参数耦合干扰和灵敏度不足等挑战，为海洋温度-盐度场的精确传感提供了优越的新技术途径。

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引用次数: 0

A bi-level model and evolution algorithm for virtual network functions deployment in inter-datacenters elastic optical networks 数据中心间弹性光网络虚拟网络功能部署的双层模型及演化算法

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-03 DOI: 10.1016/j.yofte.2025.104530

Erping Song , Ziping Yao

Virtual network function (VNF) service chains can be implemented in inter-datacenter (DC) elastic optical networks (EONs). However, when the placement of datacenters (including their quantity and locations) is uncertain, it becomes challenging to deploy DC resources, network paths, and VNFs for VNF service chains (VNF-SCs). To effectively address the aforementioned deployment issues, this paper establishes a bi-level optimization model and proposes a hybrid algorithm (HBiEA) by integrating the distributed estimation algorithm (DEA) and differential evolution (DE). Specifically, the upper-level objective functions take into account the costs of DCs and VNF deployment, while the lower-level objective functions focus on the spectrum allocation problem in EONs. Additionally, the correlation coefficient is employed to select excellent individuals from the lower level, thereby reducing computational costs.

This paper performs simulation experiments on two representative networks, namely NSFNET and US Backbone, in which the proposed HBiEA is employed to address the problems of data center (DC) placement and spectrum allocation. Comparative experiments against five classic evolutionary algorithms show that the proposed algorithm exhibits superior performance in achieving a more uniform distribution of network resources.

VNF （Virtual network function）业务链可以在数据中心间弹性光网络（eon）中实现。然而，当数据中心的布局（包括数量和位置）不确定时，VNF服务链（VNF- scs）的数据中心资源、网络路径和VNF的部署就变得具有挑战性。为了有效解决上述部署问题，本文建立了双层优化模型，并将分布式估计算法（DEA）和差分进化算法（DE）相结合，提出了一种混合算法（HBiEA）。其中，上层目标函数主要考虑数据中心和VNF部署的成本，下层目标函数主要关注eon中的频谱分配问题。此外，利用相关系数从较低的层次中选择优秀的个体，从而减少了计算成本。本文在NSFNET和US Backbone这两个具有代表性的网络上进行了仿真实验，采用所提出的HBiEA解决了数据中心（DC）布局和频谱分配问题。与五种经典进化算法的对比实验表明，该算法在实现更均匀的网络资源分配方面表现出优越的性能。

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引用次数: 0

Micro-distance measurement based on multi-core fibers 基于多芯光纤的微距离测量

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2026-01-02 DOI: 10.1016/j.yofte.2025.104550

Haoran Li, Xin Ma

Optical fiber-based micro-distance measurement offers advantages such as non-contact operation and small probe size. This makes it widely applicable in high precision measurement. However, traditional optical fiber measurement techniques such as fiber bundles suffer from low integration and are vulnerable to external interferences such as light fluctuation. To address those issues, a micro-distance measurement method based on multi-core fibers (MCFs) is proposed in this study. First, the principles of the MCF-based micro-distance measurement system are introduced. Next, simulation analysis of the coupling efficiency of MCFs is performed. Finally, the experiment was conducted to demonstrate that our method can effectively overcome the adverse effects of factors such as light intensity fluctuations, reflectivity changes, and bending losses on measurement results. This measurement method offers higher measurement accuracy while featuring a more miniature probe. These two advantages make the technology possess broader application value.

基于光纤的微距离测量具有非接触式操作和探头尺寸小等优点。这使得它广泛适用于高精度测量。然而，传统的光纤测量技术，如光纤束，存在集成度低、易受光波动等外部干扰的问题。为了解决这些问题，本研究提出了一种基于多芯光纤的微距离测量方法。首先，介绍了基于mcf的微距离测量系统的原理。其次，对mcf的耦合效率进行了仿真分析。最后通过实验验证了该方法能够有效克服光强波动、反射率变化、弯曲损耗等因素对测量结果的不利影响。这种测量方法提供了更高的测量精度，同时具有更小的探头。这两个优点使得该技术具有更广泛的应用价值。

引用次数: 0

Sampling frequency offset in IM/DD DCI Systems: Analysis and compensation for PAM signals IM/DD DCI系统的采样频率偏移：PAM信号的分析与补偿

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2025-12-31 DOI: 10.1016/j.yofte.2025.104547

Li Zhao , Jianyu Long , Jianjun Yu

O-band IM/DD systems offer a cost-efficient solution for high-speed data center interconnects (DCIs) spanning tens of kilometers without additional dispersion management. Yet, sampling frequency offset (SFO) resulting from DAC and ADC sampling rate mismatches significantly challenges PAM signals. Conventional methods like Gardner interpolation, which rely on neighboring samples, have limited SFO correction capabilities. Moreover, Gardner’s approach may obscure SFO effects in PAM signals, often misleadingly attributed solely to the sampling phase of timing recovery issues, with scant research dedicated to the underlying SFO analysis and compensation in PAM systems. In this work, we analyze SFO-induced inter-symbol interference (ISI) and demonstrate how it disrupts digital equalizers and universal clock recovery algorithms like Gardner’s method for PAM signals. We propose a digital interpolation-based SFO compensation method for O-band IM/DD PAM-4 systems over a 40-km SSMF link. Experimental results show that the proposed method improves BER performance, ensuring stable operation for long signal frames where SFO leads to significant errors.

o波段IM/DD系统为跨越数十公里的高速数据中心互连（dci）提供了一种经济高效的解决方案，而无需额外的分散管理。然而，由DAC和ADC采样率不匹配引起的采样频率偏移（SFO）严重挑战了PAM信号。Gardner插值等传统方法依赖于邻近样本，SFO校正能力有限。此外，Gardner的方法可能会模糊PAM信号中的SFO效应，通常会将其错误地仅仅归因于定时恢复问题的采样阶段，而对PAM系统中潜在的SFO分析和补偿的研究很少。在这项工作中，我们分析了sfo引起的符号间干扰（ISI），并演示了它如何破坏数字均衡器和通用时钟恢复算法，如PAM信号的Gardner方法。针对40 km SSMF链路上的o波段IM/DD PAM-4系统，提出了一种基于数字插值的SFO补偿方法。实验结果表明，该方法提高了误码率，保证了SFO误差较大的长信号帧的稳定运行。

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引用次数: 0

Mach-Zehnder interferometer temperature sensor based on inner cladding fiber and the Vernier effect 基于内包层光纤和游标效应的马赫-曾德尔干涉仪温度传感器

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2025-12-26 DOI: 10.1016/j.yofte.2025.104544

Olga N. Egorova , Yaroslav V. Kravchenko , Sergey G. Zhuravlev , Vladimir V. Velmiskin , Valery M. Mashinsky , Andrey E. Levchenko , Sergey L. Semjonov

In this paper, we propose and demonstrate a high-sensitivity temperature sensor based on in-line Mach-Zehnder interferometers exploiting the Vernier effect. Individual in-line Mach-Zehnder interferometers were fabricated by splicing a segment of inner-cladding fiber between two conventional single-mode fibers. The inner-cladding fiber is designed to support only a few cladding modes, which are insensitive to the ambient refractive index. This results in a regular and stable interference spectrum for each Mach-Zehnder interferometer. The fiber core was doped with 75 mol% germanium dioxide. High core doping produces a large effective refractive index difference between the core mode and the inner-cladding modes, providing a high density of interference points (dips or peaks of the superimposed spectrum) per unit wavelength interval, which is beneficial for envelope calculation. The temperature sensitivity of a single Mach-Zehnder interferometer was measured to be 53 pm/°C. By connecting two Mach-Zehnder interferometer with slightly different free spectral ranges in parallel, a 22-fold sensitivity enhancement via the Vernier effect was achieved, resulting in a temperature sensitivity of 1.16 nm/°C over the range of 23–200 °C.

在本文中，我们提出并演示了一种基于在线马赫-曾德尔干涉仪利用游标效应的高灵敏度温度传感器。通过在两根普通单模光纤之间拼接一段内包层光纤，制备了单列马赫-曾德尔干涉仪。内包层光纤被设计成只支持几种包层模式，这些模式对环境折射率不敏感。这使得每个马赫-曾德干涉仪的干涉光谱规律而稳定。纤维芯中掺杂了75%的二氧化锗。高芯掺杂使芯模和内包层模之间的有效折射率差较大，在单位波长间隔内提供高密度的干涉点（叠加光谱的低谷或峰值），这有利于包络计算。测量了一台马赫-曾德尔干涉仪的温度灵敏度为53 pm/°C。通过平行连接两个自由光谱范围略有不同的Mach-Zehnder干涉仪，通过游标效应实现了22倍的灵敏度增强，在23-200°C范围内获得了1.16 nm/°C的温度灵敏度。

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引用次数: 0

A Dual-Channel optical fiber sensor based on sodium film for simultaneous measurement of refractive index and temperature 一种同时测量折射率和温度的基于钠膜的双通道光纤传感器

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2025-12-24 DOI: 10.1016/j.yofte.2025.104525

Yanqi Feng , Anliang Feng , Mengmeng Zhao , Xiting Wang , Sixing Xi , Xiaolei Wang , Nana Yu

A novel dual-channel optical fiber sensor based on sodium film is proposed for the simultaneous measurement of refractive index and temperature. In comparison to gold and silver films, sodium film-based surface plasmon resonance (SPR) sensors exhibit significant advantages in resonance wavelength tunability, full width at half maximum (FWHM), and intrinsic loss. Therefore, a dual-channel sensor structure employing a D-shaped no-core fiber coated with two sodium layers of different thicknesses has been designed. The proposed structure is not only simple and facile to fabricate but also exhibits performance that is highly robust to structural parameter variations. Furthermore, it delivers an ultra-wide sensing bandwidth ranging from 500 to 1600 nm. Numerical simulation results demonstrate that the two channels operate independently: one channel, functionalized with a stable PMMA layer, is dedicated to refractive index sensing, achieving a maximum sensitivity of 10400 nm/RIU within the refractive index range of 1.33 to 1.42; the other channel, coated with a thermally sensitive PDMS layer, is designed for temperature sensing, exhibiting a sensitivity of 15.5 nm/°C over the range of 0 to 50°C. Owing to its extremely low inter-channel crosstalk and high sensitivity, this dual-channel optical fiber sensor demonstrates promising application potential in various fields such as food safety inspection, industrial process monitoring, and biomedical diagnostics.

提出了一种基于钠膜的双通道光纤传感器，用于同时测量折射率和温度。与金薄膜和银薄膜相比，钠薄膜表面等离子体共振（SPR）传感器在共振波长可调性、半最大全宽度（FWHM）和本征损耗方面具有显著优势。因此，设计了一种采用涂有两层不同厚度钠的d型无芯光纤的双通道传感器结构。所提出的结构不仅简单易于制造，而且对结构参数的变化具有高度的鲁棒性。此外，它还提供500至1600纳米的超宽传感带宽。数值模拟结果表明，两个通道独立工作：一个通道被稳定的PMMA层功能化，专用于折射率传感，在折射率1.33 ~ 1.42范围内实现了10400 nm/RIU的最大灵敏度；另一个通道涂有热敏PDMS层，设计用于温度传感，在0至50°C范围内的灵敏度为15.5 nm/°C。该双通道光纤传感器具有极低的通道间串扰和高灵敏度，在食品安全检测、工业过程监控、生物医学诊断等领域具有广阔的应用前景。

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引用次数: 0

Towards open-set intrusion recognition in railway environments: Multi-task learning meets fiber-optic distributed acoustic sensing 面向铁路环境的开放集入侵识别：多任务学习与光纤分布式声传感的融合

IF 2.7 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology

Pub Date : 2025-12-23 DOI: 10.1016/j.yofte.2025.104542

Yuewen Yin , Xiangqian Liu , Zhenshan Zhang , Hongze Xu

The vast extent of railway networks and their complex environmental dynamics pose significant challenges for traditional intrusion recognition methods. Fiber-optic distributed acoustic sensing (DAS) technology offers a promising solution due to its capabilities in distributed, long-distance, and continuous vibration monitoring. However, most existing research focuses on improving recognition accuracy under the closed-set assumption, overlooking the open-set nature of real-world scenarios and limiting practical applicability. To address this, we propose a novel open-set railway intrusion recognition method based on multi-task learning. Specifically, the closed-set classification and open-set rejection task branches share a common backbone feature extractor, while soft-attention modules are integrated into each task branch to extract task-specific features. Compared with conventional single-task open-set recognition methods, information sharing across tasks enhances the model’s generalization ability. Furthermore, the decoupled design of classification and rejection enables dedicated optimization and decision-making for each objective, improving both classification and rejection performance. Experimental results on railway field data demonstrate that the proposed method achieves an overall recognition accuracy of 92.43% and an AUROC of 0.9791, significantly outperforming traditional approaches and showcasing its substantial potential for railway intrusion recognition applications.

铁路网络的广泛性及其复杂的环境动态对传统的入侵识别方法提出了重大挑战。光纤分布式声传感（DAS）技术具有分布式、远距离、连续的振动监测能力，是一种很有前途的解决方案。然而，现有的研究大多侧重于在闭集假设下提高识别精度，忽略了现实场景的开集性质，限制了实际适用性。针对这一问题，提出了一种基于多任务学习的开放集铁路入侵识别方法。具体而言，闭集分类和开集拒绝任务分支共享一个主干特征提取器，而软注意模块集成到每个任务分支中以提取任务特定的特征。与传统的单任务开集识别方法相比，跨任务的信息共享增强了模型的泛化能力。此外，分类和拒绝的解耦设计使每个目标都能进行专门的优化和决策，从而提高了分类和拒绝的性能。铁路现场数据的实验结果表明，该方法的总体识别准确率为92.43%，AUROC为0.9791，显著优于传统方法，在铁路入侵识别应用中具有很大的潜力。

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引用次数: 0