PPP-IAR Correction Model for GNSS Positioning
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Solution Overview
Problem
Current Precise Point Positioning-Integer Ambiguity Resolution (PPP-IAR) methods face challenges in defining a dynamic state model for numerically stable repetitive state estimations, which is essential for robust GNSS correction calculation and accurate mobile position determination, especially for offshore users where ionosphere and troposphere corrections are site-dependent.
Innovation Solution
A method that calculates PPP-IAR corrections based on observation data using a functional model that separates hardware delays from integer ambiguities and merges them into a single set, eliminating the need for code hardware delays, allowing for efficient estimation and transmission of corrections, particularly applicable for offshore users by considering precise orbits and clocks determined in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional PPP-IAR methods use separate code hardware delays and integer ambiguities, then the positioning model can account for hardware effects, but the model complexity increases and convergence time is extended
Solution Approach 1:
The patent combines code hardware delays and integer ambiguities into a single unified parameter called PPP-IAR corrections. This merging eliminates the need to separately estimate and manage two distinct parameters, thereby reducing model complexity while maintaining the ability to account for hardware effects in positioning calculations.
Solution Approach 2:
The unified PPP-IAR correction parameter serves multiple functions simultaneously: it corrects for code hardware delays, resolves integer ambiguities, and provides a single correction set applicable to both code and carrier phase measurements. This multi-functionality reduces the overall number of parameters needed in the positioning model.
2Measurement precision
If traditional methods transmit separate code hardware delay corrections and ambiguity resolutions, then comprehensive corrections are provided, but bandwidth consumption increases
Solution Approach 1:
The patent merges code hardware delay corrections and ambiguity resolution corrections into a single PPP-IAR correction set. This consolidation reduces the total volume of correction data that needs to be transmitted from reference stations to mobile receivers, thereby saving bandwidth while maintaining comprehensive correction coverage.
3Productivity
If dynamic state models are used for repetitive state estimations, then real-time positioning can be achieved, but numerical instability occurs
Solution Approach 1:
The patent extracts the hardware delay and ambiguity parameters from the dynamic state model and treats them as static or slowly varying parameters to be corrected separately. This extraction removes the source of numerical instability from the dynamic estimation process while preserving the real-time processing capability for position determination.
Data Source
AI summary
A method for providing and applying Precise Point Positioning-Integer Ambiguity Resolution (PPP-IAR) corrections for a Global Navigation Satellite System (GNSS). In a GNS signal correction system, PPP-IAR corrections (ambiguities plus receiver and satellite hardware delays) are calculated based on observation data (Pi,a, Φi,a) of n satellites for individual reference stations using a functional model, and these individual PPP-IAR corrections are merged into one single and larger set of PPP-IAR corrections. In a broadcast system, the (merged) PPP-IAR corrections are encoded at a System Control Centre (SCC) and transmitted to mobiles. In a mobile system a similar functional model is used to calculate a correction Δx to an a priori position.