Tensor Decomposition for Magnetic Signal Noise Segregation
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Solution Overview
Problem
Existing technologies face challenges in isolating magnetic noise, particularly when a magnetic signal source generates both direct and alternating magnetic signals, as well as environmental geomagnetic fields, making it difficult to distinguish between the signal and noise.
Innovation Solution
A magnetic signal noise measuring apparatus that includes a magnetic measuring section, a tensor decomposing section, and a signal noise segregating section, which measures and tensor-decomposes magnetic noise and signals as tensors of second or higher order, allowing for the segregation of magnetic signals and noise into distinct representations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional magnetic sensing methods are used to measure magnetic signals, then the magnetic signal can be detected, but magnetic noise (including geomagnetic field and alternating magnetic noise) cannot be effectively isolated
Solution Approach 1:
The patent segments the magnetic field measurement into multiple independent components by using a tensor decomposition approach. The magnetic field tensor is decomposed into distinct parts representing different noise sources (geomagnetic field, alternating magnetic noise) and the target magnetic signal, allowing each component to be analyzed and isolated separately for improved measurement precision.
Solution Approach 2:
The patent transitions from conventional scalar or vector magnetic field measurements to tensor-based measurements, adding dimensional information about the spatial distribution and orientation of magnetic fields. This dimensional expansion enables the differentiation and isolation of various magnetic noise sources from the target signal through tensor decomposition.
2Object-affected harmful factors
If tensor decomposition is applied to separate magnetic signal from noise, then magnetic noise isolation is achieved, but the device complexity increases
Solution Approach 1:
The patent introduces a tensor decomposition algorithm as an intermediary processing step between magnetic field sensing and signal interpretation. This computational mediator automatically separates the magnetic field tensor into distinct components representing different noise sources and the target signal, achieving noise isolation without requiring complex physical filtering hardware.
Solution Approach 2:
The patent replaces complex physical noise filtering mechanisms with computational tensor decomposition methods. Instead of using elaborate mechanical or physical systems to filter out geomagnetic and alternating magnetic noise, the invention uses mathematical algorithms to separate noise components from the target signal, reducing device complexity.
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
Effectively isolates magnetic noise by decomposing measurement results into separate components representing the magnetic signal and noise, enabling accurate detection and separation of magnetic fields from both stationary and alternating sources, including geomagnetic fields.
Implementation Method 1
a magnetic measuring section arranged to measure magnetic noise and a magnetic signal generated by a magnetic signal source as a tensor of second or higher order
Data Source
AI summary
A magnetic signal noise measuring apparatus includes a magnetic measuring section, a tensor decomposing section, and a signal noise segregating section. The magnetic measuring section measures magnetic noise and a magnetic signal generated by a magnetic signal source as a tensor of second or higher order. The tensor decomposing section tensor-decomposes a measurement result from the magnetic measuring section. The signal noise segregating section segregates a decomposition result from the tensor decomposing section into one representing the magnetic signal and one representing the magnetic noise.