Multiaxial Sensor Offset Compensation via Geometric Clustering
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Solution Overview
Problem
Conventional methods for compensating directional sensor offsets in multiaxial sensors are either imprecise or require high computational complexity, exceeding the capabilities of mobile devices.
Innovation Solution
A method that records a large number of multiaxial measured values to form geometric figures (circles or spheres) in a coordinate system, determining the shift of the center point to correct for interference, and assigns measured values to clusters to reduce memory and computational load while maintaining precision, allowing for continuous offset updates during measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional compensation methods are used, then offset compensation is achieved, but computational complexity becomes excessively high
Solution Approach 1:
The patent segments the measurement space into discrete clusters by dividing the range of measured values into multiple intervals. Each cluster is represented by a representative value, reducing the number of data points that need to be processed while maintaining the geometric distribution information needed for accurate offset compensation.
Solution Approach 2:
The patent extracts only the essential geometric information (center point shift) from the measured values by forming geometric figures (circles or spheres) from the data points. This extraction eliminates unnecessary computational complexity while preserving the core information needed for compensation.
2Measurement precision
If a large number of measured values are stored for accurate offset determination, then measurement precision is improved, but memory requirements increase
Solution Approach 1:
The patent segments the measured values into clusters based on their geometric distribution. By assigning measured values to discrete clusters rather than storing all individual values, the system reduces memory requirements while maintaining sufficient precision through the representative values of each cluster.
Solution Approach 2:
The patent applies different treatment to measured values based on their geometric distribution characteristics. Values are assigned to clusters according to their spatial distribution, allowing the system to focus computational and storage resources on the most informative regions of the measurement space.
3Speed
If measured values are processed immediately without clustering, then computational speed is maintained, but computational load becomes excessive
Solution Approach 1:
The patent segments the computational task into two phases: first assigning measured values to clusters (which reduces the data volume), then performing offset determination on the clustered data. This segmentation maintains processing speed by avoiding the need to process all individual measured values simultaneously.
Solution Approach 2:
The patent performs preliminary clustering of measured values before determining the offset. This preliminary action organizes the data in a way that reduces the computational load of the subsequent offset determination, as the clustered data requires fewer calculations while maintaining the same geometric information.
Data Source
AI summary
In a method for determining an offset of measured values of a multiaxial directional sensor using a superposed signal, a large number of multiaxial measured values are recorded first. Measured values, which are recorded in different orientations of the directional sensor, form a geometric figure in a coordinate system resulting from the measuring axes of the sensor, the ideal form of the geometric figure being known and the ideal center point of which being located at the origin of the measuring axes. In the case of a biaxial sensor, the geometric figure is a circle; in the case of a triaxial sensor, it is a sphere around the origin. The superposition caused by the interference is reflected in that the center point of the geometric figure is shifted in relation to the origin of the measuring axes. The offset is measured by determining this shift.


