Un-differential Correction Distributed Processing for GNSS
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Solution Overview
Problem
Current global satellite navigation systems face challenges in providing fast real-time precise positioning services to a growing number of users due to high communication burdens on servers and limited concurrency, which restricts the number of users that can be served simultaneously and increases the risk of key information leakage.
Innovation Solution
An un-differential correction distributed processing system based on a receiver of reference station, comprising a precise orbit clock offset server, a phase fraction estimating server, and a reference station area code address server, which distributes processing tasks to reduce server load and enable real-time precise positioning by calculating phase fractions and un-differential corrections at the receiver level, allowing for load equalization and secure information sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If centralized server processing is used for satellite navigation positioning, then positioning precision can be maintained, but server load increases and concurrency is limited
Solution Approach 1:
The patent segments the centralized server processing into distributed processing units deployed at multiple reference stations. Each reference station independently performs positioning calculations and correction computations, eliminating the single-server bottleneck and enabling parallel service to multiple users simultaneously while maintaining positioning precision through distributed computational capability.
Solution Approach 2:
The patent enables reference stations to autonomously perform positioning calculations and generate correction data without requiring centralized server processing. Each reference station serves itself and nearby users independently, reducing server load and increasing system concurrency while maintaining positioning accuracy through local real-time computations.
2Adaptability or versatility
If more users are served simultaneously, then system utility increases, but communication burden on server increases
Solution Approach 1:
The patent divides the user service capacity across multiple distributed reference stations, each handling local users independently. This segmentation reduces the communication burden on any single server by distributing data exchange requirements across the network, allowing the system to serve more users simultaneously without proportionally increasing central server communication load.
Solution Approach 2:
The patent implements local processing at reference stations, where positioning calculations and correction computations are performed locally rather than centrally. This local quality approach reduces communication burden by minimizing data transmission requirements, as each station processes data locally and only exchanges essential correction information with nearby users.
3Stability of the object's composition
If centralized processing is used, then data consistency can be maintained, but key information leakage risk increases
Solution Approach 1:
The patent segments data storage and processing across multiple distributed reference stations rather than centralizing it. This segmentation inherently reduces information leakage risk by distributing sensitive data across multiple secure locations, while data consistency is maintained through standardized processing algorithms and correction data exchange protocols that ensure uniform positioning accuracy across the distributed network.
Data Source
AI summary
Un-differential correction distributed processing system and method based on a receiver of a reference station, in which main calculation tasks of conventional centralized data processing are transferred to the receiver of the reference station. The receiver of the reference station executes tasks of the PPP calculation, the PPP un-differential ambiguity fixing and the un-differential correction product generating via data interaction with servers. The client generates a relevant virtual un-differential correction by visiting a reference station area code address server and achieves PPP-RTK calculation under area augmentation. Load of server is greatly reduced, and problem of overload on relevant servers is solved; meanwhile, there is no need for the client to arrange a machine room of servers that needs specially-assigned person on duty, thus reducing user's maintenance work on the servers and saving costs. The reference station and client are not required to upload geographic coordinates precisely, and confidentiality is better.