Real-Time Location Calibration With Adaptive Reference Profiles
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Solution Overview
Problem
Conventional RTLS systems for determining the location of portable devices relative to vehicles suffer from accuracy issues due to environmental factors and device variations, requiring user calibration that can lead to frustration and inconsistent results.
Innovation Solution
A system and method for calibrating location information using a reference locator trained on samples with truth information, and an adapter locator adapted for different device types, which adjusts parameters to provide accurate location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional RTLS system uses signal strength to determine location, then the system can provide basic location functionality, but the accuracy varies significantly across different environments and device types
Solution Approach 1:
The system performs preliminary calibration by collecting signal strength samples at multiple known locations before actual use. This pre-collected data forms a reference profile that enables accurate location determination without requiring real-time environmental adaptation, thus improving both accuracy and environmental adaptability.
Solution Approach 2:
The system creates a reference profile that copies or replicates the expected signal characteristics at various locations. This reference profile serves as a template that can be compared against actual measurements, enabling accurate location determination across different environments and device types without requiring recalibration.
2Measurement precision
If the system requires user calibration for each device type, then accuracy for that specific device can be improved, but user frustration increases due to complexity and potential for error
Solution Approach 1:
The system performs self-calibration by automatically collecting signal samples and generating reference profiles without requiring user intervention. The controller autonomously determines device type and adapts the location determination algorithm, eliminating the need for manual calibration while maintaining high accuracy across different device types.
Solution Approach 2:
The system dynamically changes calibration parameters based on automatically detected device type. Instead of requiring manual calibration for each device, the system adjusts its internal parameters and reference profiles according to the detected device characteristics, maintaining accuracy while simplifying operation.
3Device complexity
If a single location determination function is used for all devices, then system complexity is reduced, but accuracy decreases due to device variations
Solution Approach 1:
The system implements a universal location determination function that can handle multiple device types through automatic device type detection and adaptive parameter adjustment. This single function performs the work of multiple device-specific functions by dynamically adapting to the input device characteristics, maintaining low system complexity while preserving high accuracy.
Solution Approach 2:
The location determination function dynamically adapts its behavior based on the detected device type. The system changes its internal parameters and reference profiles in real-time according to the device being used, allowing a single function to maintain high accuracy across diverse device types without requiring multiple static functions.
Data Source
AI summary
A system and method for determining location information based on a reference profile for a reference device, and a system and method for determining the reference profile. The system may determine the reference locator with respect to the reference device based on a plurality of samples obtained with respect to communications between the reference device and an object device. An adapter locator may be determined for the reference locator for samples obtained with respect to communications between a test device and object.