GNSS Positioning Cycle Slip Detection
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Solution Overview
Problem
Current GNSS positioning systems based on carrier phase measurements face challenges in achieving precise and stable position estimation due to cycle slips and satellite clock anomalies, which affect the accuracy and computational efficiency of the positioning process.
Innovation Solution
The method involves obtaining GNSS signals from multiple satellites, identifying and omitting signals affected by cycle slips, and using precise satellite information on satellite orbits and clock offsets to estimate the receiver's position, thereby excluding corrupted data and improving the accuracy of the positioning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If carrier phase measurements are used for positioning, then position precision is improved, but reliability deteriorates due to cycle slips and integer ambiguity
Solution Approach 1:
The system performs preliminary detection of cycle slips and identification of affected signals before using carrier phase measurements for positioning. By detecting cycle slips in advance and excluding affected signals from the positioning calculation, the system prevents reliability degradation while maintaining the high precision benefits of carrier phase measurements.
Solution Approach 2:
The system extracts and removes signals affected by cycle slips from the positioning calculation process. By identifying and excluding these corrupted signals, the system eliminates the harmful impact of cycle slips on reliability while preserving the precision advantages of carrier phase measurements from clean signals.
2Productivity
If all GNSS signals are used for positioning calculation, then productivity is improved, but measurement precision deteriorates due to inclusion of corrupted signals
Solution Approach 1:
The system performs preliminary quality assessment of GNSS signals to identify those affected by cycle slips or satellite clock anomalies before incorporating them into positioning calculations. This pre-screening ensures that only high-quality signals are used, maintaining measurement precision while still achieving high productivity by utilizing all valid signals.
Solution Approach 2:
The system applies different quality assessments to different GNSS signals individually. By evaluating each signal's quality based on cycle slip detection and satellite clock status, the system selectively includes or excludes specific signals, ensuring that local quality variations do not compromise overall positioning accuracy.
3Productivity
If cycle slip affected signals are included in positioning estimation, then productivity is improved, but reliability deteriorates
Solution Approach 1:
The system performs preliminary detection of cycle slips and identification of affected signals before the positioning estimation process. By knowing in advance which signals are corrupted, the system can efficiently exclude them without compromising reliability, while still maintaining high productivity by using all remaining valid signals.
Solution Approach 2:
The system extracts and removes cycle slip affected signals from the positioning calculation dataset. This selective exclusion ensures that only reliable signals contribute to the positioning estimate, maintaining positioning stability while preserving computational efficiency by avoiding unnecessary reprocessing or validation of corrupted signals.
Data Source
AI summary
A method is provided for estimating parameters useful to determine the position of a global navigation satellite system (GNSS) receiver or a change in the position thereof. The method includes the steps of: obtaining at least one GNSS signal received at the GNSS receiver from each of a plurality of GNSS satellites; obtaining, from at least one network node, precise satellite information on: (i) the orbit or position of at least one of the plurality of GNSS satellites, and (ii) a clock offset of at least one of the plurality of GNSS satellites; identifying, among the obtained GNSS signals, a subset of at least one GNSS signal possibly affected by a cycle slip, the identified subset being hereinafter referred to as cycle-slip affected subset; and estimating parameters useful to determine the position of the GNSS receiver or a change in the position of the GNSS receiver using at least some of the obtained GNSS signals which are not in the cycle-slip affected subset, and the precise satellite information.