Carrier Signal Positioning With Accuracy-Ordered Ambiguity Search
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Solution Overview
Problem
Existing satellite positioning systems face challenges in accurately resolving integer ambiguities in carrier signal wavelengths, leading to inefficiencies in determining the position of mobile devices, particularly in 5G networks where higher data transfer speeds and larger connection numbers require enhanced spectral efficiency and reduced latency.
Innovation Solution
Implementing integer ambiguity resolution techniques that utilize candidate float ambiguity values to perform an integer ambiguity search, applying more stringent metric thresholds to validate satellite signals and determine combined-frequency integer ambiguities, thereby improving position estimation accuracy and reducing ambiguity convergence time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional integer ambiguity resolution methods are used, then positioning accuracy can be achieved, but ambiguity convergence time is excessively long (tens of minutes)
Solution Approach 1:
The patent performs preliminary classification of candidate float ambiguity values into multiple subsets based on their accuracy indicators before the integer ambiguity search. This preliminary organization enables the search algorithm to efficiently prioritize and process high-accuracy candidates first, significantly reducing the time required to converge on the correct integer ambiguity solution while maintaining positioning accuracy.
Solution Approach 2:
The patent segments the set of candidate float ambiguity values into multiple subsets based on accuracy indicators. By dividing the search space into ordered subsets, the system can perform integer ambiguity searches on high-accuracy subsets first, avoiding exhaustive searches through all candidates and thereby reducing convergence time from tens of minutes to a few minutes.
2Measurement precision
If multiple candidate float ambiguity values are processed to improve accuracy, then computation complexity increases, but this is necessary for 5G network requirements
Solution Approach 1:
The patent performs preliminary classification of candidate float ambiguity values into multiple subsets based on their accuracy indicators before the integer ambiguity search. This preliminary organization enables the search algorithm to efficiently prioritize and process high-accuracy candidates first, significantly reducing the time required to converge on the correct integer ambiguity solution while maintaining positioning accuracy.
Solution Approach 2:
The patent applies partial action by performing integer ambiguity searches on subsets of candidate float ambiguity values rather than processing all candidates equally. By focusing computational resources on high-accuracy subsets first, the system achieves sufficient positioning accuracy for 5G requirements without the full computational burden of exhaustively processing all candidates, thus managing computation complexity effectively.
Data Source
AI summary
An integer ambiguity resolution method includes: receiving SPS signals; determining, for the SPS signals, candidate float ambiguity values indicative of float numbers of carrier signal wavelengths of the SPS signals between respective satellite sources, of the SPS signals, and the mobile device; and performing, in response to failure of an integer ambiguity resolution validation check based on at least a first subset of the candidate float ambiguity values, an integer ambiguity search using at least a second subset of the candidate float ambiguity values; wherein each candidate float ambiguity value of the at least second subset of the candidate float ambiguity values corresponds to a second indication of candidate float ambiguity accuracy that is higher than a first indication of candidate float ambiguity accuracy, if any, corresponding to the at least first subset of the candidate float ambiguity values.