Satellite Correction Signal Warm-Start Estimation
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Solution Overview
Problem
Current satellite correction systems face challenges in reducing convergence time for orbit and clock data after system maintenance, software upgrades, and hardware updates, leading to delays in providing precise and timely correction signals to mobile receivers.
Innovation Solution
A method and system that utilize stored raw satellite signal measurements during a warm-start mode to estimate satellite correction signals, seamlessly switching to live measurements when they become current, allowing for rapid convergence of orbit and clock data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the satellite correction estimator is restarted after system maintenance, software upgrades, or hardware updates, then the system can be updated with new configurations and data, but the convergence time for orbit data and clock data increases significantly (up to 5-14 days)
Solution Approach 1:
The system performs preliminary actions by storing raw satellite signal measurements in a data storage device before the estimator is restarted. When the estimator重新启动, it can immediately process these pre-stored measurements during a warm-start mode, bypassing the need to collect data from scratch and achieving rapid convergence without the 5-14 day delay.
Solution Approach 2:
The data storage device acts as an intermediary between the satellite signal measurements and the correction estimator. It preserves historical measurement data and makes it available to the restarted estimator, enabling the estimator to resume processing without waiting for new measurements to accumulate, thus reducing convergence time.
2Reliability
If the estimator processes only live real-time measurements after restart, then the data is current and up-to-date, but the convergence time for accurate orbit and clock solutions is extended to 5-14 days
Solution Approach 1:
The system prepares measurement data in advance by storing it in the data storage device before the estimator restarts. This preliminary action allows the estimator to immediately access historical measurements during warm-start mode, achieving rapid convergence while maintaining data quality through the seamless switch to live measurements once convergence is achieved.
Solution Approach 2:
The system dynamically switches between two data sources: pre-stored historical measurements during the warm-start phase for rapid convergence, and live real-time measurements after convergence for current data. This dynamic adaptation allows the system to optimize for speed initially and for currency subsequently, resolving the contradiction between convergence time and data currency.
3Loss of time
If the system stores historical raw satellite signal measurements for warm-start mode, then convergence time is reduced, but additional data storage capacity and data management complexity are required
Solution Approach 1:
The data storage device automatically stores raw satellite signal measurements as they are received, without requiring complex manual data management. The system self-services by continuously accumulating measurement data in chronological order with time tags, making it readily available when the estimator needs to perform a warm-start, thus reducing convergence time without proportionally increasing operational complexity.
Data Source
AI summary
In one embodiment during a warm-start mode, an estimator estimates a satellite correction signal based on satellite orbit data, satellite clock data, and satellite bias correction data derived from stored received raw satellite signal measurements. A data source selector seamlessly switches a measurement data source from the stored received raw satellite signal measurements to live, real-time raw satellite signal measurements if or when a respective measurement time tag of a last-processed one of the stored received satellite signal measurements approaches or reaches the current time.