Receiver Clock Estimation via Delta Carrier Phase Updating
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Solution Overview
Problem
Current positioning methods in 5G wireless communication systems face challenges in accurately determining receiver clock values, especially when primary signals are lost, which affects the precision of position estimation and increases outlier detection errors.
Innovation Solution
The implementation of delta carrier phase updating and recursive filtering techniques to estimate receiver clock drift, allowing for precise determination of receiver clock values even in the absence of primary signals, using available positioning signals to update clock terms and maintain accurate position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If receiver clock value is determined using primary positioning signals, then positioning accuracy is improved, but system reliability deteriorates when primary signals are lost
Solution Approach 1:
The patent introduces an intermediary clock drift estimation mechanism that mediates between the primary positioning signals and the receiver clock. When primary signals are lost, the clock drift estimator uses available positioning signals from alternative sources to maintain clock value determination, ensuring continuous positioning capability without complete dependency on primary signals.
Solution Approach 2:
The patent changes the parameter approach from direct clock value determination using primary signals to clock drift estimation using available signals. By estimating clock drift rates and applying them to maintain clock values, the system can adapt to signal availability changes and maintain positioning accuracy regardless of which specific signals are available.
2Device complexity
If empirical models are used for clock estimation, then device complexity is reduced, but measurement precision deteriorates due to increased outlier detection errors
Solution Approach 1:
The patent implements a feedback mechanism where clock drift estimates are continuously refined using available positioning signals. The system monitors signal quality and adjusts the clock estimation process accordingly, providing feedback to improve precision while avoiding complete reliance on simple empirical models.
Solution Approach 2:
The patent transitions from static empirical models to dynamic clock drift estimation. The system adaptively estimates clock drift rates in real-time based on actual signal conditions, allowing the estimation process to respond to changing environmental conditions and maintain high precision without fixed model limitations.
Data Source
AI summary
A positioning method includes: receiving, at an apparatus from a first signal source, a first positioning signal; determining, at the apparatus, a first receiver clock value with respect to the first positioning signal; determining, at the apparatus in response to loss of reception of the first positioning signal, a drift of the first receiver clock value using delta carrier phase updating based on one or more available positioning signals; and determining, at the apparatus, a second receiver clock value based on the first receiver clock value and the drift of the first receiver clock value.