Neural Network Optical Waveguide Characterization
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Solution Overview
Problem
Current methods for determining transmission characteristics of multi-mode optical waveguides require a reference light beam and involve high computational effort, limiting their efficiency and practicality.
Innovation Solution
A receiving device and method that utilize a trained neural network to determine transmission characteristics without a reference light beam, by processing intermixed and phase-shifted light beams to extract mode information and phase data, reducing the need for additional optical paths and computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital holography is used to measure transmission properties of the optical waveguide, then the transmission matrix can be determined, but an additional optical path for the reference light beam is required
Solution Approach 1:
The invention extracts and eliminates the reference light beam component from the digital holography system. Instead of using both object and reference beams, the system only uses the object beam that has propagated through the optical waveguide, thereby determining the transmission matrix without requiring the additional reference optical path
Solution Approach 2:
The system uses the light beam that has already propagated through the optical waveguide to determine the transmission properties. The same beam that carries the transmission information also serves as the measurement probe, eliminating the need for a separate reference beam
2Measurement precision
If digital holography with reference light beam is used, then transmission properties can be characterized, but computational effort is high
Solution Approach 1:
The invention extracts only the essential measurement information from the light beam after it propagates through the optical waveguide. By using correlation-based methods and machine learning algorithms, the system determines transmission properties directly from the measured beam characteristics without performing computationally intensive holographic reconstruction
Solution Approach 2:
The invention replaces traditional mechanical/optical holographic reconstruction methods with computational approaches based on correlation analysis and machine learning. This substitution reduces the computational complexity while maintaining the ability to determine transmission characteristics
3Reliability
If multi-mode optical waveguide is used for data transmission, then information security is increased, but transmission characteristics must be characterized using complex methods
Solution Approach 1:
The system uses the light beams that have already propagated through the multi-mode optical waveguide to automatically determine the transmission matrix. The waveguide's own transmitted beams provide the necessary information for characterization, eliminating the need for complex external reference systems
Solution Approach 2:
The invention changes the measurement parameters from traditional holographic quantities to correlation-based and machine learning-compatible parameters. By measuring beam intensities, phases, and correlations directly after waveguide propagation, the system simplifies the characterization process while maintaining accuracy
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient determination of transmission characteristics with reduced computational effort, eliminating the need for a reference light beam and secondary optical paths, thereby enhancing the practicality and security of multi-mode optical waveguide systems.
Implementation Method 1
determining, using a trained neural network, mode information for the received intermixed light beam, the mode information having, for each mode of the plurality of modes, a determined associated amplitude and a determined associated phase
Implementation Method 2
receiving an intermixed light beam from a multimode optical waveguide, the intermixed light beam including an at least partially superimposed plurality of light beams, each light beam of the plurality of light beams having an associated one of a plurality of modes having an associated amplitude and an associated phase
Implementation Method 3
the mixed light beams on a receiving side of the optical waveguide are constructively superimposed with a separate coherent reference light beam so that an interference pattern is produced
Data Source
AI summary
A receiving apparatus and method for determining transmission characteristics of an optical waveguide in which the receiving apparatus includes a waveguide interface for receiving a mixed light beam having a plurality of modes from a multi-mode optical waveguide and for receiving a blended shifted light beam from the multimode optical waveguide, wherein the mixed light beam has an associated phase for each mode of the plurality of modes, and wherein the mixed shifted light beam has an associated shifted phase for each mode of the plurality of modes; and one or more processors for determining mode information for the intermixed light beam and shifted mode information for the intermixed shifted light beam using a trained neural network and for determining, for each mode of the plurality of modes, the respective associated phase using the intermixed shifted light beam.