GNSS Positioning Satellite Error Filtering
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Solution Overview
Problem
Global Navigation Satellite System (GNSS) receivers face challenges in determining accurate position data due to cycle-slip and multipath errors, which cannot be readily canceled using conventional error-correction techniques, leading to noise in position calculations.
Innovation Solution
A GPS device identifies and removes positioning satellites experiencing significant cycle-slip or multipath errors by determining cycle-slip and multipath error data using detection techniques and adjusts the set of satellites used for position calculations, thereby reducing noise in position data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all available positioning satellites are used for position calculations, then the quantity of positioning satellites is maximized, but cycle-slip and multipath errors introduce noise and reduce measurement precision
Solution Approach 1:
The patent extracts and removes specific satellites from the positioning set that are experiencing cycle-slip or multipath errors. By identifying erroneous satellites through error detection techniques and excluding them from the calculation, the system maintains high satellite utilization while eliminating sources of measurement noise, thus resolving the contradiction between maximizing satellite quantity and ensuring position accuracy.
Solution Approach 2:
The patent applies different quality criteria to different satellites individually. Each satellite is evaluated for cycle-slip and multipath errors, and only satellites meeting the predetermined criterion are included in the position calculation. This localized quality filtering allows the system to maximize the use of reliable satellites while excluding those with errors, balancing quantity and precision.
2Device complexity
If conventional error-correction techniques are used, then the device complexity is reduced, but cycle-slip and multipath errors cannot be effectively canceled
Solution Approach 1:
The patent implements a feedback mechanism where position data is continuously monitored for signs of cycle-slip and multipath errors. When errors are detected, the system feeds back this information to identify and exclude the affected satellites from subsequent calculations. This feedback loop maintains high reliability by continuously adapting the satellite set based on real-time error conditions, overcoming the limitations of conventional static error correction methods.
Solution Approach 2:
The patent performs preliminary error detection and satellite identification before final position calculations are performed. By detecting cycle-slip and multipath errors in advance and pre-filtering the satellite list, the system prevents erroneous data from entering the calculation process, thereby improving reliability without requiring complex real-time correction algorithms.
3Measurement precision
If error detection techniques are implemented to identify erroneous satellites, then measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent employs self-service error detection where the GPS device uses its own received positioning signals and internal processors to identify cycle-slip and multipath errors autonomously. The device self-diagnoses by analyzing its own measurement data for error patterns, eliminating the need for external monitoring systems or complex additional hardware, thus improving precision with minimal increase in device complexity.
Data Source
AI summary
A method may include determining cycle-slip error data using a cycle-slip error detection technique and a first set of positioning signals. The method may further include determining multipath error data using a multipath error detection technique and the first set of positioning signals. The method may further include determining whether the positioning satellites satisfy a predetermined criterion based on the cycle-slip error data and the multipath error data. The method further includes determining a second set of positioning satellites in response to determining that the first set of positioning satellites fail to satisfy the predetermined criterion. The first set of positioning satellites may be different from the second set of positioning satellites. The method may further include obtaining a second set of positioning signals using the second set of positioning satellites. The method further includes determining position data using the second set of positioning signals.


