GNSS Receiver Autonomous Orbit Projection
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Solution Overview
Problem
Current Global Navigation Satellite System (GNSS) receivers require significant time to acquire satellites and achieve precise positional information, especially in situations where data connections are unavailable or costly, and existing methods for fast acquisition rely on external data sources that may not always be accessible.
Innovation Solution
A GNSS receiver equipped with an orbit projector that converts stored broadcast orbits into time series of range data, allowing for autonomous projection of satellite orbits and fast acquisition without relying on external data sources, enabling quick and precise positional determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If almanac data is used for fast satellite acquisition, then acquisition speed is improved, but positional accuracy deteriorates
Solution Approach 1:
The system performs preliminary orbit projection using almanac data to predict satellite positions in advance. This allows the receiver to prepare acquisition parameters beforehand, achieving fast initial acquisition while maintaining the ability to improve accuracy through subsequent broadcast orbit updates without requiring external data sources.
2Measurement precision
If broadcast orbits are downloaded from acquired satellites, then positional accuracy is improved, but acquisition time increases
Solution Approach 1:
The system uses its own previously stored broadcast orbit data to project future satellite orbits autonomously. This self-service approach eliminates dependency on external data sources and allows the receiver to maintain both fast acquisition capability and high positional accuracy by using its own historical data for projections.
3Loss of time
If precise orbital data is downloaded from external sources, then acquisition speed is improved, but system complexity and cost increase
Solution Approach 1:
The system extracts and stores broadcast orbit data locally during normal operation, then uses this extracted data for autonomous orbit projection. This eliminates the need for external data connections during acquisition, simplifying the system by removing dependencies on external infrastructure while maintaining fast acquisition capability.
4Productivity
If external data sources are used for orbit information, then acquisition performance is improved, but reliability deteriorates
Solution Approach 1:
The system performs preliminary storage of broadcast orbit data during periods when external data sources are available. This preliminary action creates a local reservoir of orbit information that can be used autonomously when external sources are unavailable, ensuring reliable operation in both connected and disconnected scenarios.
Data Source
AI summary
In a method of autonomous orbit projection performed within a Global Navigation Satellite System (GNSS) receiver, distinct broadcast orbits are received over time from a GNSS satellite during operation of the GNSS receiver. A plurality of the distinct broadcast orbits are stored within the GNSS receiver. Within the GNSS receiver, a plurality of the stored broadcast orbits are converted into a time series of range data for the GNSS satellite. A projected orbit for the GNSS satellite is determined by utilizing the time series of range data as an input to an orbit projector of the GNSS receiver.