Satellite Receiver Aiding Data for Rapid Positioning
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Solution Overview
Problem
Current satellite navigation receivers face challenges in rapidly determining precise positions due to long initialization periods and limited global validity of real-time kinematic correction data, restricting their range and accuracy.
Innovation Solution
A satellite receiver system that measures carrier phase and code phase signals, resolves ambiguities using a precise point positioning algorithm, and transmits aiding data to enable rapid and accurate position determination, allowing for global validity of correction data and reduced dependency on real-time kinematic base stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time kinematic correction data is used for precise positioning, then position accuracy is improved to centimeter level, but the range is limited to local area within 20-30 kilometers due to distance-dependent biases
Solution Approach 1:
The patent introduces a reference receiver as an intermediary that collects and processes satellite signal measurements to generate correction data. This reference receiver acts as a mediator between the satellite system and the mobile receiver, providing locally valid correction data that enables precise positioning while maintaining global applicability through the network of reference receivers.
Solution Approach 2:
The patent segments the positioning system into independent reference receivers distributed globally, each providing locally valid correction data. This segmentation allows the system to maintain high precision locally while achieving global coverage through multiple independent segments, resolving the contradiction between local accuracy and global range.
2Measurement precision
If carrier phase measurements are used for precise positioning, then position accuracy is improved to centimeter level, but initialization period increases to 30-45 minutes due to integer ambiguity convergence requirements
Solution Approach 1:
The patent applies preliminary action by pre-resolving integer ambiguities at the reference receiver using collected satellite measurements before transmitting correction data to mobile receivers. This preliminary resolution of ambiguities eliminates the need for mobile receivers to undergo lengthy convergence periods, reducing initialization time while maintaining centimeter-level accuracy.
Solution Approach 2:
The patent uses copying by transmitting pre-computed correction data and resolved ambiguity information from the reference receiver to the mobile receiver. Instead of requiring the mobile receiver to independently resolve ambiguities over time, it receives a copy of the already-resolved ambiguity data, dramatically reducing initialization period.
3Measurement precision
If real-time kinematic base stations are deployed for correction data, then position accuracy is improved, but system complexity and investment increase significantly
Solution Approach 1:
The patent makes the reference receiver multi-functional by enabling it to serve both as a data collection point for generating correction data and as a transmission node for providing aiding data to multiple mobile receivers. This universality reduces overall system complexity by consolidating functions that would otherwise require separate infrastructure components.
Solution Approach 2:
The reference receiver performs self-service by autonomously collecting satellite measurements, resolving integer ambiguities, generating correction data, and transmitting aiding data without requiring complex external processing infrastructure. This self-sufficiency reduces system complexity and investment requirements compared to traditional RTK base station networks.
Data Source
AI summary
A relative positioning module applies a real-time kinematic (RTK) algorithm to provide relative position vector between reference receiver and rover receiver and to provide recovery data. At the rover, the precise positioning module applies the relative position vector, the aiding data, recovery data, and correction data as inputs, constraints, or both for convergence of one or more predictive filters on wide-lane and narrow-lane ambiguities (e.g., in accordance with a precise positioning algorithm). At the rover, the precise positioning module or the navigation positioning estimator estimates a precise position of the rover based on the converged or fixed narrow-lane ambiguities and wide-lane ambiguities.