Magnetic Fingerprinting Position Device with Temporal Variation Detection
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Solution Overview
Problem
Indoor positioning technologies face challenges in accurately determining device position due to dynamic magnetic field conditions, such as those caused by moving ferrous objects or overhead lines, which degrade localization accuracy or make it infeasible without additional considerations.
Innovation Solution
A position determination device and method that detect temporal variations in the magnetic field, generate temporal variation information, and use this information to improve position estimation by comparing magnetic field sensor data with a magnetic map, subtracting dynamic components, and weighting position estimates based on reliability, allowing for accurate positioning even in dynamic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic field sensor data is used for position determination, then position estimation can be obtained, but temporal variations in the magnetic field (e.g., from moving ferrous objects or overhead lines) cause large position errors and reduce localization accuracy
Solution Approach 1:
The system dynamically adapts to changing magnetic field conditions by detecting temporal variations and adjusting the fingerprint matching process accordingly. The detection circuitry monitors changes in magnetic field characteristics over time and modifies the position determination approach based on whether the field is static or dynamic, allowing the system to maintain accuracy despite environmental changes.
Solution Approach 2:
The system changes the parameters used for position determination based on the detected magnetic field conditions. When temporal variations are detected, the system switches from using absolute magnetic field values to using temporal variation patterns as the distinguishing feature for fingerprint matching, thereby adapting to the dynamic environment.
2Reliability
If temporal variation detection is added to handle dynamic magnetic fields, then position determination reliability improves, but device complexity increases
Solution Approach 1:
The detection circuitry serves multiple functions: it detects temporal variations in the magnetic field, characterizes the variation patterns, and uses this information to control the fingerprint matching process. By making the detection circuitry multi-functional, the system avoids adding separate dedicated components for each function, thereby limiting the increase in device complexity.
Solution Approach 2:
The system uses the magnetic field sensor data itself to detect temporal variations and generate temporal variation information, rather than requiring entirely separate sensing mechanisms. The existing sensor data is reprocessed to extract temporal characteristics, allowing the system to enhance its capabilities using already-acquired information.
Data Source
AI summary
A position determination device comprises data input circuitry configured to obtain magnetic field sensor data sensed by a magnetic field sensor, detection circuitry configured to detect temporal variations of the magnetic field and to generate temporal variation information indicating the detected temporal variation of the magnetic field, and magnetic fingerprinting circuitry configured to determine a first position estimate of the sensor position by comparing the obtained magnetic field sensor data with a magnetic map comprising magnetic fingerprints of a region around the magnetic field sensor and using the generated temporal variation information.