Integer Ambiguity Reliability for High-Precision 5G Positioning
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Solution Overview
Problem
Existing positioning technologies in 5G networks face challenges in achieving high-precision positioning accuracy due to uncertainties in integer ambiguities in measurement parameters.
Innovation Solution
A method and apparatus that determine integer ambiguities and assess their reliability using measurement information, such as time and carrier phase measurements, to improve positioning accuracy by selecting the most reliable ambiguities for precise location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If integer ambiguity is determined based on measurement information, then positioning accuracy is improved, but reliability of the integer ambiguity determination deteriorates due to uncertainties in measurement parameters
Solution Approach 1:
The patent applies feedback by obtaining reliability information about the integer ambiguity and using this feedback to determine whether to use the integer ambiguity for positioning. The reliability information is fed back into the decision-making process, allowing the system to adjust its behavior based on the quality of the measurement data, thereby resolving the contradiction between improving positioning accuracy and maintaining reliability.
Solution Approach 2:
The patent changes the parameter state by introducing reliability information as a new parameter that influences the positioning decision. Instead of simply using the integer ambiguity directly, the system modifies the decision-making process by considering the reliability parameter, which allows it to adapt to varying measurement conditions and resolve the contradiction between accuracy and reliability.
2Measurement precision
If multiple integer ambiguities are determined from measurement information, then positioning accuracy is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent uses feedback by obtaining reliability information for each integer ambiguity and using this information to filter or select the most reliable ambiguities for positioning. This feedback mechanism allows the system to manage complexity by automatically identifying and excluding unreliable integer ambiguities, reducing the need for complex manual processing while maintaining high positioning accuracy.
Solution Approach 2:
The system applies self-service by automatically using the reliability information to make decisions about which integer ambiguities to use for positioning. Instead of requiring complex external processing or manual intervention, the system self-regulates its behavior based on the reliability parameters, thereby improving accuracy while avoiding excessive complexity in the processing architecture.
Data Source
Figure 1~2B
Figure 2C~2D
Figure 2E~2F
AI summary
A positioning method, an apparatus, a system, and a storage medium are provided to improve positioning accuracy. In this application, a first apparatus determines a first integer ambiguity based on first measurement information. The first measurement information includes time measurement information and/or carrier phase measurement information. The first measurement information is obtained by measuring at least one first reference signal. The first apparatus may further obtain first information. The first information indicates reliability of the first integer ambiguity. Because the first information indicates reliability of the first integer ambiguity, positioning accuracy can be improved by performing positioning based on the first information and the first integer ambiguity.