Method for providing a hybrid distributed fiber optic sensing system with improved connection to existing deployed fiber infrastructure

    公开(公告)号:US11686602B2

    公开(公告)日:2023-06-27

    申请号:US17196939

    申请日:2021-03-09

    CPC classification number: G01D5/35338 G01H9/004 G01K11/32 H04B10/25

    Abstract: A method of providing a hybrid distributed fiber optic sensing system (DFOS) that extends an existing fiber optic telecommunications network thereby providing that existing fiber optic telecommunications network with DFOS capabilities. The method provides a length of fiber optic cable, wherein said fiber optic cable conveys communications traffic; provides a DFOS interrogator system in optical communication with the communications fiber optic cable; extends the length of communications fiber optic cable with first and second lengths of fiber optic sensory cable, and operates the DFOS interrogator system such that first sensory data is generated in the first length of fiber optic sensory cable and second sensory data is generated in the second length of fiber optic sensory cable and conveyed to the DFOS interrogator system via the communications fiber optic cable, wherein the first type of sensory data and the second type of sensory data is a type selected from the group consisting of acoustic data, temperature data, and vibration data and the first type of sensory data is not the same type as the second type of sensory data.

    Concurrent sensing distributed fiber optic sensor placement

    公开(公告)号:US11677470B2

    公开(公告)日:2023-06-13

    申请号:US17580572

    申请日:2022-01-20

    CPC classification number: H04B10/272

    Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.

    Underground optical fiber cable localization including DFOS and TDOA methods

    公开(公告)号:US11619523B2

    公开(公告)日:2023-04-04

    申请号:US17118529

    申请日:2020-12-10

    Abstract: A method for the non-destructive localization of underground optical fiber cables that utilizes distributed fiber optic sensing (DFOS) and time difference of arrival (TDOA) data associated with received signals of impulsive surface vibrations to localize the underground optical fiber cable by solving non-linear least square optimization problem(s). The method utilizes only TDOA information of received signals of impulsive surface vibrations to determine such localizations and does not require synchronization between a vibration source and DFOS receiver. The method may employ man-made impulsive vibrations to determine the localization. In operation the method involves 1) impulse-like vibration excitation and signal collection; 2) TDOA estimation of the received signals from DFOS; and 3) non-linear least square optimization applied to the TDOA information for underground optical fiber localization.

    Multilayer coding method for distributed physical measurements

    公开(公告)号:US10739228B2

    公开(公告)日:2020-08-11

    申请号:US16258588

    申请日:2019-01-26

    Abstract: Aspects of the present disclosure describe a multilayer coding method for physical value measurements in which a multi-pulse pattern is generated through several layers, each of which is encoded with a different cyclic codeword. The total coding gain is the product of the gains of each layer advantageously allowing a long cyclic codeword to be replaced by combining several short cyclic codewords. Of particular advantage, methods according to the present disclosure provide better signal-to-noise characteristics, longer sensing distances and lower computational complexity particularly suitable for high-performance and cost-effective distributed optical fiber sensing (DOFS).

    Probabilistic shaping for arbitrary modulation formats

    公开(公告)号:US10476728B2

    公开(公告)日:2019-11-12

    申请号:US16153029

    申请日:2018-10-05

    Abstract: Systems and methods for optical data transport, including controlling data transport across an optical transmission medium by generating two-dimensional (2D) distribution matchers (DMs) based on probabilistic fold shaping (PFS) and arbitrary probabilistic shaping (APS). The 2D PFS-based DM is can encode any N-fold rotationally symmetrical Quadrature Amplitude Modulation (QAM) format by applying the 2D PFS-based DM only to symbols in one quadrant based on a target entropy. A fold index yield uniform distribution is determined, and is utilized to carry generated uniform distributed parity check bits across the optical transmission medium. The 2D APS-based DM can encode any arbitrary modulation formats by encoding uniform binary data to generate non-uniform target symbols, and generating a probability distribution for the target symbols by indirectly applying the 2D APS-based DM based on a target probability distribution and a detected code rate of generated FEC code.

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