GNSS Satellite Trajectory Prediction for Mobile Devices
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Solution Overview
Problem
Current GNSS satellite trajectory prediction methods require high calculation capabilities, making it difficult to implement on mobile devices like PDAs or smartphones, resulting in poor positioning accuracy and limited prediction duration.
Innovation Solution
A method and device for predicting GNSS satellite trajectory using a mobile apparatus with a microprocessor to obtain satellite navigation messages, determine propagating conditions, estimate parameters for a satellite trajectory prediction model, and propagate satellite trajectory extension data, enabling prediction on devices with lower calculation capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional satellite trajectory prediction methods are used, then prediction accuracy can be maintained, but calculation complexity is too high for mobile devices
Solution Approach 1:
The patent extracts and separates the computationally intensive orbit determination calculations from the mobile device, performing them on ground-based servers. The mobile device only receives pre-processed satellite trajectory extension data, eliminating the need for complex calculation capabilities while maintaining positioning accuracy.
Solution Approach 2:
The patent performs satellite trajectory prediction calculations in advance on ground-based servers before the mobile device needs them. The predicted trajectory extension data is prepared beforehand and transmitted to mobile devices, allowing accurate positioning without requiring complex on-device computation.
2Duration of action of stationary object
If satellite trajectory prediction is extended beyond 7-14 days, then prediction duration increases, but prediction errors accumulate
Solution Approach 1:
The patent implements a feedback mechanism where ground-based servers continuously monitor actual satellite positions and compare them with predicted positions. When prediction errors approach acceptable thresholds, the system automatically updates the prediction models and re-transmits corrected trajectory extension data to mobile devices, enabling long-duration accurate prediction.
Solution Approach 2:
The patent establishes continuous trajectory prediction and update cycles on ground-based servers, maintaining uninterrupted satellite position prediction capability. The system continuously processes satellite data, updates prediction models, and refreshes trajectory extension data, ensuring accurate long-term prediction without interruption.
3Measurement precision
If ground observations are processed with high calculation capability, then trajectory accuracy improves, but processing complexity increases
Solution Approach 1:
The patent introduces ground-based servers as intermediary systems between satellite observation data and mobile devices. These servers perform complex orbit determination calculations using ground observations, then provide simplified trajectory extension data to mobile devices, resolving the conflict between accuracy and processing complexity.
Solution Approach 2:
The patent creates pre-processed copies of satellite trajectory data through ground-based orbit determination systems. Instead of requiring mobile devices to process raw observation data, the system generates and distributes copied, pre-processed trajectory extension data that maintains accuracy while eliminating complex processing requirements.
Data Source
AI summary
A method and device for predicting satellite trajectory extension data used in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for a satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating a plurality of parameters of a satellite trajectory prediction model according to the propagating condition, and propagating a set of satellite trajectory extension data by using the satellite trajectory prediction model.