BIPOLAR CYCLIC CODING FOR BRILLOUIN OPTICAL TIME DOMAIN ANALYSIS

    公开(公告)号:US20210181059A1

    公开(公告)日:2021-06-17

    申请号:US17115651

    申请日:2020-12-08

    Abstract: Aspects of the present disclosure describe systems, methods and structures providing bipolar cyclic coding for Brillouin optical time domain analysis that may be employed—for example—to determine high accuracy temperature and/or strain measurements along an optical fiber. Systems, methods, and structures according to the present disclosure employ the bipolar cyclic coding technique that advantageously overcomes the problems that plague the prior art and provides extended sensing range resulting from superior signal-to-noise characteristics.

    DISPLACEMENT SENSORS CONSTRUCTED USING LOW COST ToF SENSORS AND OPTICAL FIBERS WITH LARGE ELONGATION CAPABILITIES

    公开(公告)号:US20250147154A1

    公开(公告)日:2025-05-08

    申请号:US18935515

    申请日:2024-11-02

    Abstract: Disclosed are displacement sensors constructed from optical fibers having a long elongation with low-cost ToF sensors that advantageously do not suffer the infirmities of the art. The ToF sensor and the optical fiber ends that launch and receive light are packaged such that no ambient light affects measurements, and the structure is protected from contamination which eliminates optical degradation. With multi-point measurement capabilities and the low-cost features of ToF sensors, many displacement sensors can be arranged in a mesh to map out displacements over a large area and over all directions for civil and/or geotechnical structures. Wireless or other communications mechanisms may be employed in conjunction with our novel sensors to send real time measurement data to a central office for real time monitoring and analysis.

    SPATIAL RESOLUTION OF A DTS SYSTEM BY IMPULSE RESPONSE DECONVOLUTION AND OPTIMIZATION ALGORITHMS

    公开(公告)号:US20190234809A1

    公开(公告)日:2019-08-01

    申请号:US16258587

    申请日:2019-01-26

    CPC classification number: G01K11/32 G01K2011/324

    Abstract: Aspects of the present disclosure describe Raman based Distributed temperature sensing (DTS) systems with a novel recovery algorithm that improves the spatial resolution of DTS system. The algorithm is based on a linear DTS model and weighted total variation. Furthermore, we describe an additional algorithm which can automatically detect and recover any hot regions along the fiber—with the recovery algorithm as its core—achieving correct reconstruction with a temperature profile down to 10 cm in length—which is equivalent to improving the spatial resolution to about 5 cm

    INDOOR MIMO ACOUSTIC DETECTION AND LOCALIZATION USING TONE SIGNALS

    公开(公告)号:US20250130307A1

    公开(公告)日:2025-04-24

    申请号:US18901760

    申请日:2024-09-30

    Abstract: Disclosed are systems and methods directed to a MIMO method that detects and localizes an object without requiring the object to emit a sound. Operationally, multiple speakers generate tone signals at different frequencies, while multiple acoustic sensors demodulate the complex amplitude of each frequency. By monitoring the feature variation of the relative phase (or intensity) vector from the complex amplitude, our method detects or localizes movement of the object. For large-scale applications, a fiber-optic system and method that employs distributed acoustic sensing (DAS) in which an optical fiber is used as one or more acoustic sensors located at points along the length of the optical fiber. A single DAS system provides numerous sensors using only a single optical fiber thereby enabling perfect synchronization and centralized signal processing. Notably, with such a DAS arrangement, cost and complexity is significantly reduced, while privacy is preserved.

    AUTOMATIC CALIBRATION FOR BACKSCATTERING-BASED DISTRIBUTED TEMPERATURE SENSOR

    公开(公告)号:US20240302225A1

    公开(公告)日:2024-09-12

    申请号:US18598386

    申请日:2024-03-07

    CPC classification number: G01K15/005 G01K11/32

    Abstract: Disclosed are vehicle-infrastructure interaction systems and methods employing a distributed fiber optic sensing (DFOS) system operating with pre-deployed fiber-optic telecommunication cables buried alongside/proximate to highways/roadways which provide 24/7 continuous information stream of vehicle traffic at multiple sites; only require a single optical sensor cable that senses/monitors multiple locations of interest and multiple lanes of traffic; the single optical sensor cable measures multiple related information (multi-parameters) about a vehicle, including driving speed, wheelbase, number of axles, tire pressure, and others, that can be used to derive secondary information such as weight-in-motion; and overall information about a fleet of vehicles, such as traffic congestion or traffic-cargo volume. Different from merely traffic counts, our approach can provide the count grouped by vehicle-types and cargo weights. Precise measurements are facilitated by high temporal sampling rates of the distributed acoustic sensing and a dedicated peak finding algorithm for extracting the timing information reliably.

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