GNSS SSR Correction Forwarding for Low-Power Mobile Positioning
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Solution Overview
Problem
Existing GNSS systems face challenges in providing accurate location services to mobile devices due to limitations in processing power, antenna configurations, and unsupported frequency bands, making it difficult for devices to decode and utilize SSR PPE corrections for centimeter-level accuracy.
Innovation Solution
A monitoring station decodes and preprocesses SSR correction information, performing quality verification, coordinate transformations, and removing IODE dependency to enhance the correction information, which is then forwarded to mobile devices via a cloud service, reducing processing requirements and enabling accurate position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mobile devices directly decode SSR PPE corrections from satellite vehicles, then centimeter-level positioning accuracy can be achieved, but processing power requirements and antenna configuration requirements become excessively high for typical mobile devices
Solution Approach 1:
A server acts as an intermediary between satellite vehicles and mobile devices. The server receives SSR correction information from satellite vehicles, performs preprocessing and quality verification, then forwards the processed corrections to mobile devices. This mediator approach enables typical mobile devices to achieve centimeter-level positioning accuracy without requiring excessive processing power or advanced antenna configurations.
Solution Approach 2:
The server performs preliminary processing of SSR correction information before it reaches mobile devices. This includes quality verification, coordinate transformations, and other preprocessing operations that reduce the processing burden on mobile devices while maintaining the accuracy benefits of SSR corrections.
2Measurement precision
If existing GNSS systems use standard correction services, then broad compatibility is maintained, but positioning accuracy cannot reach centimeter-level precision
Solution Approach 1:
The server provides a universal interface that works across different frequency bands and GNSS constellations. By centralizing the processing of SSR correction information from various satellite vehicles (GPS, Galileo, BeiDou, etc.), the system maintains broad compatibility with different mobile devices while enabling centimeter-level positioning accuracy through unified quality verification and preprocessing operations.
3Reliability
If SSR correction information is transmitted directly from satellite vehicles to mobile devices, then data freshness is maintained, but decoding complexity and error rates increase due to signal quality issues
Solution Approach 1:
The server performs self-service quality verification on received SSR correction information before forwarding to mobile devices. This includes validating the quality indicators, checking for errors, and ensuring the corrections meet required standards. This self-verification process improves reliability while reducing decoding difficulty for mobile devices, as problematic corrections are filtered out beforehand.
Data Source
AI summary
Techniques are for providing satellite navigation correction information to mobile devices are described herein. An example of a method for providing Global Navigation Satellite System (GNSS) State Space Representation (SSR) correction information includes receiving SSR correction information, generating enhanced SSR correction information by performing at least one of a quality verification process, a coordinate transformation process, or an Issue of Data Ephemeris (IODE) dependency removal process on the received SSR correction information, and providing the enhanced SSR correction information to one or more mobile devices.