Electronic Compass Automatic Calibration via Deviation Vector
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Solution Overview
Problem
Existing electronic compasses face challenges with slow and difficult calibration, unreliable direction readings due to interference from external magnetic fields and tilting of sensors, leading to inaccurate measurements, especially in varying operating conditions and for multi-purpose devices with limited processing power.
Innovation Solution
The solution involves continuous automatic calibration of the compass during use, based on signal quality criteria, with background calibration performed at regular intervals or when necessary, using acceleration sensors to determine optimal calibration times, and employing a streamlined method for determining the deviation vector without intensive statistical calculations, allowing for low-power processor usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user performs manual calibration by rotating device 360 degrees, then calibration is completed, but calibration is slow and difficult
Solution Approach 1:
The system performs preliminary calibration actions automatically in the background before the user needs accurate compass readings. The calibration process is initiated and executed without user intervention, preparing the system in advance so that when the user needs direction information, the calibration is already complete or being updated seamlessly.
Solution Approach 2:
The compass device performs self-calibration using its own sensors and processing capabilities. The system automatically detects when calibration is needed, executes the calibration routine, and updates its internal parameters without requiring external assistance or user manipulation. This eliminates the need for users to manually rotate the device through specific motions.
2Reliability
If calibration is performed frequently to maintain accuracy, then direction reading reliability improves, but power consumption increases
Solution Approach 1:
Instead of continuous calibration, the system employs periodic calibration at strategically determined intervals. The calibration frequency is optimized to maintain sufficient accuracy while minimizing energy expenditure. The system monitors environmental conditions and calibration quality metrics to determine when recalibration is truly necessary, rather than following a fixed schedule.
Solution Approach 2:
The system continuously monitors the quality of compass readings and environmental magnetic field conditions to provide feedback on calibration needs. When the feedback indicates that calibration quality has degraded below a threshold or environmental conditions have changed significantly, the system triggers recalibration. This feedback-driven approach ensures calibration occurs only when necessary, optimizing the balance between reliability and power consumption.
3Measurement precision
If intensive statistical calculations are used for calibration, then calibration accuracy improves, but processing power requirements increase
Solution Approach 1:
The calibration calculation process is divided into separate stages and components. Rather than performing one large intensive statistical calculation, the system breaks down the calibration into multiple smaller computational steps that can be executed sequentially with lower instantaneous processing demands. This segmentation allows accurate calibration while managing the processing power requirements of resource-constrained devices.
4Ease of operation
If device is tilted away from horizontal plane during use, then user convenience improves, but measurement noise increases
Solution Approach 1:
The system transitions from two-dimensional horizontal plane calibration to three-dimensional spatial calibration. By incorporating vertical dimension measurements and using acceleration sensors to detect device orientation in 3D space, the system can compensate for tilting effects. This dimensional expansion allows the compass to maintain accuracy even when the device is held at various angles, greatly improving user convenience without sacrificing measurement quality.
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
This approach provides unobtrusive, reliable, and efficient direction determination with reduced power consumption, enabling immediate use of the compass with accurate readings and minimizing user intervention, while maintaining calibration quality and reducing response times.
Implementation Method 1
electromagnetic sensor means for measuring field components in the magnetic field, with the aid of which the direction of the magnetic field is measured
Implementation Method 2
The signal they transmit will then not correspond to the real compass direction, but methods to take this noise into account are required
Data Source
AI summary
A method and an electronic device for determining the direction of a magnetic field, in which a mobile electronic compass device is used to measure three field vectors of the magnetic field the desired number of times. From each measurement, a data point (p1-p6) is formed in a three-dimensional co-ordinate system, for which measured data points a common reference point (C) is calculated. The location of the device is determined relative to the reference point in said co-ordinate system and the co-ordinates of the reference point obtained are compared to the co-ordinates of at least one previous reference point, and the co-ordinate values of the reference point are calibrated, after which the direction of the magnetic field is indicated with the aid of the reference point.