Nec Corporation

Corning Incorporated

City College of New York

Giovanni Milione

Ting Wang

Ezra Ip

Philip N Ji

Yue-Kai Huang

Fatih Yaman

Shaoliang Zhang

Neda Cvijetic

Daniel Aloysius Nolan

Robert R Alfano

Eric Cosatto

Shuji Murakami

Aspects of the present disclosure describe systems, methods, and structures for the machine learning based regression of complex coefficients of a linear combination of spatial modes from a multimode optical fiber.

Machine learning based regression of complex coefficients of a linear combination of spatial modes from multimode optical fiber

Aspects of the present disclosure describe systems, methods, and structures for high speed frequency hopping distributed acoustic sensing using an acousto-optic modulated (AOM), gated re-circulating loop and a frequency shifted receiver local oscillator. Using the re-circulating loop controlled by the AOM to generate frequency-hopping pulse(s) increases DAS acoustic bandwidth overcomes infirmities exhibited in the art that generate multiple frequency patterns that are not suitable for long-distance DAS. Additionally, by employing frequency shifted local oscillator (LO) with asymmetric in band detection, bandwidth requirements are reduced by one half.

High speed frequency hopping DAS interrogation using AOM-gated re-circulating loop and frequency-shifted receiver LO

Aspects of the present disclosure describe systems, methods and structures employing time-space de-noising for distributed sensor.

Time-space de-noising for distributed sensors

Aspects of the present disclosure describe systems, methods and structures for classification of higher-order spatial modes using machine learning systems and methods in which the classification of high-order spatial modes emitted from a multimode optical fiber does not require indirect measurement of the complex amplitude of a light beam's electric field using interferometry or, holographic techniques via unconventional optical devices/elements, which have prohibitive cost and efficacy; classification of high-order spatial modes emitted from a multimode optical fiber is not dependent on a light beam's alignment, size, wave front (e.g. curvature, etc.), polarization, or wavelength, which has prohibitive cost and efficacy; classification of higher-order spatial modes from a multimode optical fiber does not require a prohibitive amount of experimentally generated training examples, which, in turn, has prohibitive efficacy; and the light beam from a multimode optical fiber can be advantageously separated into two orthogonal polarization components, such that, the different linear combination of higher order spatial modes comprising each polarization component can be classified.

Machine learning based classification of higher-order spatial modes

A method and system for remote sensing using optical orbital angular momentum (OAM)-based spectroscopy for object recognition. The method includes applying an OAM state on a light beam to generate an optical OAM spectrum, transmitting the light beam on a remote object, receiving a reflected optical OAM spectrum associated with the remote object, and providing a high resolution image of the remote object based on the reflected optical OAM spectrum.

Method and apparatus for remote sensing using optical orbital angular momentum (OAM)-based spectroscopy for object recognition

A system and method are provided for distributed acoustic sensing in a multimode optical fiber. The system includes a transmitter for simultaneously propagating a sequence of M light pulses through the multimode optical fiber using a spatial mode selected from a set of N spatial modes provided by a spatial mode selector for the transmitter that is coupled to an input to the multimode optical fiber, with M and N being respective integers greater than one. The system further includes a receiver for receiving the sequence of M light pulses at an output of the multimode optical fiber and detecting an environmental perturbation in the multimode optical fiber based on an evaluation of a propagation of the sequence of M light pulses through the multimode optical fiber.

Distributed acoustic sensing in a multimode optical fiber using distributed mode coupling and delay

Aspects of the present disclosure describe systems, methods, and structures for free-space optical communications using Hermite-Gaussian modes resulting in advantageous performance over prior art systems particularly with respect to lateral misalignment.

Free-space optical communication using Hermite-Gaussian modes

A system to perform distributed acoustic sensing (DAS) in an environment with acoustic vibrations present includes at least an optical fiber positioned in said environment, wherein the optical fiber comprises N spatial channels and N laser pulses are launched into the N spatial channels of the optical fiber and propagate over a fiber length; and one or more sensors to measure N signals of acoustic vibration amplitude and frequency from each of N spatial channels, wherein the N signals are digitally added for spatial averaging and applied to determine DAS.

Method to increase the signal to noise ratio of distributed acoustic sensing by spatial averaging

Methods and systems for Brillouin optical time-domain reflectometry include optically filtering out non-Brillouin signals reflected from a fiber. Brillouin signals reflected from the fiber are coupled with a local oscillator to produce a Brillouin shift signals. The Brillouin shift signals are converted to an electrical domain using a photodetector. The electrical Brillouin shift signals are converted to a digital domain using a low-speed analog-to-digital converter that has a sampling rate below a Nyquist rate sufficient to fully resolve the electrical Brillouin shift signals.

Low-complexity brillouin optical time-domain reflectometers using syb-nyquist sampling

Methods of decoding N superimposed coherent optical transmission modes transmitted along a multimode optical fiber are provided where the optical signal detector comprises coherent detection hardware and a digital signal processor. The optical signals are split into N optical detection channels of the coherent detection hardware, which is used to measure the phase and amplitude of the output optical signals as a vector field matrix [&#xea;]. The digital signal processor determines the output principal states [PS]of the output optical signals from the principal state eigenvectors of an output matrix corresponding to the N propagating optical signals at the receiving portion of the data transmission link and extracts the input optical signals [M]from the output optical signals using the output principal states [PS], the vector field matrix [&#xea;]of the output optical signals, and a time delay &#x3c4; of each output signal. Optical signal receivers for the execution of the methodology disclosed and contemplated herein are also provided.

All-optical mode division demultiplexing

A system and method are provided for distributed acoustic sensing in a multicore optical fiber. The system includes a transmitter for simultaneously propagating a sequence of M light pulses through the multicore optical fiber using a spatial mode selected from a set of N spatial modes provided by a spatial mode selector for the transmitter that is coupled to an input to the multicore optical fiber, with M and N being respective integers greater than one. The system further includes a receiver for receiving the sequence of M light pulses at an output of the multicore optical fiber and detecting an environmental perturbation in the multicore optical fiber based on an evaluation of a propagation of the sequence of M light pulses through the multicore optical fiber.

Distributed acoustic sensing in a multicore optical fiber using distributed mode coupling, delay, and simultaneous pulsing with selectable spatial modes

Systems and methods for optical communication are disclosed that include communicating data using one or more transceiver pairs coupled to a spatial-multiplexer (S-MUX); performing bi-directional transmissions over an elliptical core optical fiber to a spatial-demultiplexer (S-DEMUX) using spatial modes to communicate data in either direction between two transceiver pairs with low crosstalk and without optical circulators or wavelength-division multiplexing (WDM); and communicating data from the S-DEMUX with g one or more transceiver pairs.

Bi-directional transmission over an elliptical core optical fiber

Methods and system for transmitting data includes converting multiple optical beams to distinct respective spatial modes. Data is modulated onto each of the optical beams. The optical beams are combined into a single transmission beam. The transmission beam is launched onto a multimode optical fiber having an elliptical core.

Multimode elliptical core optical data transmission

A method and system for remote sensing using optical orbital angular momentum (OAM)-based spectroscopy for lateral motion detection. The method includes applying an OAM mode on a light beam to generate an OAM light beam, the OAM light beam having an optical OAM spectrum, applying an OAM optical beam tilt on the OAM light beam to generate a tilted OAM light beam, transmitting the tilted OAM light beam on a remote object, such that the remote object interacts with the tilted OAM light beam, receiving a reflected OAM spectrum associated with the remote object, the reflected OAM spectrum having power values of OAM modes on opposite sides of an OAM launch mode, and displaying lateral motion of the remote object based on the reflected OAM spectrum by comparing the power values.

Method and apparatus for remote sensing using optical orbital angular momentum (OAM)-based spectroscopy for detecting lateral motion of a remote object

A system and method for remote object sensing which features a spatially polarization-inhomogeneous light beam that is directed on the remote object. A polarimetry receiver receives the light beam after it contacts the remote object. The changes in the spatially polarization-inhomogeneous light beam from contacting the remote object are a result of spatial features of the remote object. The polarimetry receiver is configured to measure the spatially inhomogeneous electric field of the light beam after it contacts the remote object and compute the changes in the spatially polarization-inhomogeneous light beam in order to detect spatial features of the remote object. The system obtains high-resolution, real-time information concerning important spatial features of the remote object.

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Franklin Square, NY, United States of America

Giovanni Milione