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Related papers: Sensitivity kernels for transmission fiber optics

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Monitoring the optical phase change in a fiber enables a wide range of applications where fast phase variations are induced by acoustic signals or vibrations in general. However, the quality of the estimated fiber response strongly depends…

Signal Processing · Electrical Eng. & Systems 2018-05-23 Christian Dorize , Elie Awwad

We present a scalable method for geolocalizing buried fiber-optic cables using Distributed Acoustic Sensing (DAS) and traffic-induced quasi-static seismic signals. Assuming access to one end of the fiber, the method fuses DAS measurements…

Geophysics · Physics 2026-04-14 Khen Cohen , Natanel Nissan , Ofir Nissan , Ariel Lellouch

We present a method for measuring the transmission loss of an optical fiber using simplified optical correlation-domain reflectometry. By intentionally lowering the spatial resolution of the system, we observe the Rayleigh scattered signal…

Textile sensors transform our everyday clothing into a means to track movement and bio-signals in a completely unobtrusive way. One major hindrance to the adoption of "smart" clothing is the difficulty encountered with connections and space…

Signal Processing · Electrical Eng. & Systems 2024-03-22 Brett C. Hannigan , Tyler J. Cuthbert , Chakaveh Ahmadizadeh , Carlo Menon

Online measurement of diameters and concentricities of optical fibre layers, and the coating layer in particular, is one of the challenges in fibre manufacturing. Currently available instruments can measure concentricity and diameter of…

The efficient and independent operation of power-over-fiber (PoF) and distributed acoustic sensing (DAS) has been demonstrated using standard single-mode fiber (SSMF). A transmission optical power efficiency (OPTE) of 6.67% was achieved…

When data is transmitted by encoding it in the amplitude of the transmitted signal, such as in Amplitude Shift Keying, the receiver makes a decision on the transmitted data by observing the amplitude of the received signal. Depending on the…

Signal Processing · Electrical Eng. & Systems 2020-02-21 Mohammed Usman , Mohd Wajid , M. Z. Shamim , Mohd Dilshad Ansari , Vinit Kumar Gunjan

Distributed acoustic sensing (DAS) fibers have enabled various geophysical applications in unconventional reservoirs. Combined with perforation shots, a DAS fiber can record valuable guided waves that propagate in the reservoir formation…

Geophysics · Physics 2023-08-07 Milad Bader , Robert G. Clapp , Kurt T. Nihei , Biondo Biondi

The use of Wavefront Sensors (WFS) is nowadays fundamental in the field of instrumental optics. This paper discusses the principle of an original and recently proposed new class of WFS. Their principle consists in evaluating the slopes of…

Optics · Physics 2011-05-23 Francois Henault

Fiber optical strain sensors are used to measure the strain at a particular sensor position inside the fiber. In order to deduce the strain in the surrounding matrix material, one can employ the strain transfer principle. Its application is…

Numerical Analysis · Mathematics 2020-10-13 Felix Ospald , Kai Bergermann , Roland Herzog

Today's most precise optical instruments -- gravitational-wave interferometers and optical atomic clocks -- rely on long storage times for photons to realize their exquisite sensitivity. Optical fiber technology is the most widely deployed…

Due to the complexity of modeling the elastic properties of materials, the use of machine learning algorithms is continuously increasing for tactile sensing applications. Recent advances in deep neural networks applied to computer vision…

Robotics · Computer Science 2020-06-05 Carmelo Sferrazza , Raffaello D'Andrea

In this paper, we introduce Internet Photonic Sensing (IPS), a new framework for deformation and vibration measurement and monitoring based on signals that are available from standard fiber optic communication hardware deployed in the…

Signal Processing · Electrical Eng. & Systems 2020-09-30 Shreeshrita Patnaik , Paul Barford , Dante Fratta , Bill Jensen , Neal Lord , Matt Malloy , Herb Wang

Fiber-optic transmission systems are leveraged not only as high-speed communication channels but also as nonlinear kernel functions for machine learning computations, enabling the seamless integration of computational intelligence and…

Optics · Physics 2025-03-05 Jiahao Zhang , Lu Zhang , Xiaodan Pang , Oskars Ozolins , Qun Zhang , Xianbin Yu

Optical fibers offer significant advantages in both power delivery and distributed sensing. In remote areas where stable power supply is not easy to access, the distributed optical fiber sensing (DOFS) which offers long distance monitoring…

Nitrogen-vacancy (NV) quantum magnetometers offer exceptional sensitivity and long-term stability. However, their use to date in distributed sensing applications, including remote detection of ferrous metals, geophysics, and biosensing, has…

Applied Physics · Physics 2019-07-24 Shai Maayani , Christopher Foy , Dirk R. Englund , Yoel Fink

We develop a theory of light transmission through an aperture-type near-field optical probe with a dissipative matter in its semiconducting core described by a complex frequency-dependent dielectric function. We evaluate the near-field…

Optics · Physics 2007-05-23 V. S. Lebedev , T. I. Kuznetsova , A. M. Tsvelik

Transmission through a subwavelength terahertz fiber, which is positioned in parallel to a frequency selective surface, is studied using several finite element tools. Both the band diagram technique and the port-based scattering matrix…

Optics · Physics 2015-06-16 Martin Girard , Maksim Skorobogatiy

A rigid connection between the optical fiber and the rock makes amplitudes of 'fiber strain' measured with Distributed Acoustic Sensing (DAS) equal to 'rock strain'. We demonstrate this by running four interrogator units (IU) on a DAS…

We introduce propagation kernels, a general graph-kernel framework for efficiently measuring the similarity of structured data. Propagation kernels are based on monitoring how information spreads through a set of given graphs. They leverage…

Machine Learning · Statistics 2014-10-14 Marion Neumann , Roman Garnett , Christian Bauckhage , Kristian Kersting