High-Speed Data Demodulation via Adaptive Synchronization
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Solution Overview
Problem
Conventional data demodulation methods in high-speed scenarios, such as on a moving train, suffer from low precision in Doppler frequency shift estimation, resulting in inadequate downlink data throughput due to the large Doppler frequency shifts encountered.
Innovation Solution
A data demodulation method that involves obtaining notification of a high-speed moving state, performing time-frequency synchronization with increased adjustment frequencies and coefficients, and using Wiener filtering coefficients specific to high-speed scenarios to enhance channel estimation and demodulation processing, thereby improving frequency shift tracking and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional frequency shift estimation method is used, then the method is simple to implement, but the estimation precision is low in high-speed scenarios
Solution Approach 1:
The patent applies preliminary action by performing time-frequency synchronization processing before demodulation processing. The method pre-calculates and applies compensation based on estimated frequency shifts using Wiener filtering coefficients before the actual demodulation occurs, thereby improving estimation precision in advance without adding complex real-time processing during demodulation.
Solution Approach 2:
The patent changes parameters by using different Wiener filtering coefficients adapted to high-speed scenarios. Instead of using fixed conventional filtering coefficients, the method dynamically adjusts the filtering coefficients based on the estimated frequency shift characteristics of high-speed moving states, thereby improving estimation precision while maintaining manageable complexity through parameter optimization.
2Productivity
If conventional demodulation method is used, then the method has low implementation complexity, but the downlink data throughput is low in high-speed moving state
Solution Approach 1:
The patent introduces an intermediary mechanism by using Wiener filtering coefficients as a bridge between frequency shift estimation and demodulation processing. This intermediary layer processes the frequency shift compensation in a structured manner, improving downlink data throughput through better channel estimation while keeping the overall system complexity manageable by separating concerns into distinct processing stages.
Solution Approach 2:
The patent applies dynamics by making the demodulation method adaptive to high-speed scenarios. The method dynamically adjusts the time-frequency synchronization parameters and Wiener filtering coefficients based on the detected high-speed moving state, allowing the system to optimize performance for specific conditions without requiring completely different demodulation algorithms for each scenario.
3Reliability
If time-frequency synchronization processing with increased adjustment frequencies and coefficients is performed, then frequency shift tracking is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by performing time-frequency synchronization processing with increased adjustment frequencies and coefficients before demodulation. This pre-processing step establishes accurate frequency shift tracking in advance, improving reliability without burdening the main demodulation process with excessive complexity, as the synchronization is completed as a separate preparatory stage.
Data Source
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AI summary
Embodiments of the present invention relate to a data demodulation method, apparatus, and system. The method includes: obtaining notification information indicating that UE is in a high-speed moving state; performing time-frequency synchronization processing on first downlink data according to the notification information to obtain second downlink data, where an adjustment frequency in the time-frequency synchronization processing is greater than an adjustment frequency that is at a time when the UE is in a non-high-speed moving state, and an adjustment coefficient used for loop filtering is greater than an adjustment coefficient that is at the time when the UE is in the non-high-speed moving state; and performing demodulation processing on the second downlink data to obtain third downlink data, where in the demodulation processing, inter-TTIs filtering for a channel estimation is not performed, or a filtering coefficient as a weight of a current TTI for a channel estimation is greater than a filtering coefficient as a weight of a TTI that is at the time when the UE is in the non-high-speed moving state for a channel estimation. It can be learnt from the foregoing that, in the embodiments of the present invention, after that the UE is in the high-speed moving state is learnt by obtaining the notification information, the UE can achieve good downlink demodulation performance by using the demodulation method applicable to a high-speed scenario, improving a downlink data throughput of the UE.