GPS Drifting Correction via Multi-Device Kalman Filtering
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Solution Overview
Problem
GPS positioning accuracy is affected by drifting issues due to satellite orbit deviations, ephemeris errors, and atmospheric interference, with existing solutions being either expensive or having limited long-term accuracy.
Innovation Solution
A method and system that determine predicted error information for GPS position corrections within a region, using a combination of static and dynamic device information, and calculate GPS drifting by averaging weighted correction drifts from multiple devices, incorporating Kalman filtering for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed station correction is used to enhance GPS accuracy, then positioning accuracy is improved, but cost increases significantly
Solution Approach 1:
The patent creates a virtual copy of the fixed station correction capability by using multiple mobile devices with known positions to generate correction data. Instead of requiring expensive fixed infrastructure, the system copies the correction function across multiple user devices, making high-accuracy positioning available without fixed station hardware.
Solution Approach 2:
The system enables mobile devices to self-correct their GPS positions by using correction data from other devices in the network. Each device contributes to and benefits from the collective correction data, eliminating the need for external fixed station infrastructure and making the correction service self-sustaining.
2Measurement precision
If INS is used to provide high positioning accuracy, then short-term accuracy is improved, but long-term accuracy deteriorates due to integration error accumulation
Solution Approach 1:
The patent implements feedback by continuously comparing GPS positions with corrected positions from multiple devices and using this information to adjust and recalibrate the correction model over time. This feedback mechanism prevents error accumulation by periodically resetting and recalibrating the positioning system against the collective data from the device network.
Solution Approach 2:
The system merges GPS positioning data from multiple devices with correction data from devices with known positions to create a hybrid positioning solution. By combining these data sources and using statistical methods to aggregate results, the system maintains accuracy over time by leveraging the collective information rather than relying on a single integrating device.
3Measurement precision
If GPS correction data from multiple devices is aggregated, then positioning accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the correction data processing by having each device independently calculate its own correction data based on its known position and GPS reading. Instead of collecting all raw data and processing it centrally, the system divides the processing task across individual devices, reducing the complexity burden on any single component while still achieving aggregated accuracy benefits.
Data Source
AI summary
Processing GPS drifting. A method and system for processing GPS drifting is included. The method includes: determining predicted error information on position correction of a device within a region; obtaining a GPS initial position and a corrected position of the device within the region; and determining GPS drifting of the region based on the predicted error information, the GPS initial position, and the corrected position of at least one device within the region. The method and system of the present application can effectively ameliorate GPS drifting issues.