Multimodal Doppler Target Sensing for 5G Positioning Accuracy
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in accurately determining the Doppler modality of target objects, which affects the precision of positioning and data transfer.
Innovation Solution
A processing device receives Doppler modality assumptions from a sensing server, processes measurement samples to determine the Doppler modality of a target object, and reports relevant parameters to the server, enhancing the accuracy of Doppler modality determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless communication systems are used for target sensing, then basic communication functions are maintained, but the accuracy of Doppler modality determination and positioning precision are insufficient
Solution Approach 1:
The sensing server pre-configures multiple Doppler modality assumptions and measurement parameters before the actual sensing operation. The UE is provided with a sensing configuration including Doppler modality assumptions, measurement sample configurations, and reporting parameters in advance, allowing the system to prepare optimal measurement strategies before executing the positioning task.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the UE measures Doppler shifts from reference signals, determines the actual Doppler modality by comparing measurements against pre-configured assumptions, and reports the determined modality and parameters back to the sensing server. This feedback enables the server to refine positioning calculations and improve accuracy.
2Measurement precision
If multiple measurement parameters are collected and processed, then the accuracy of target object characterization improves, but the processing complexity and time increase
Solution Approach 1:
The sensing server pre-configures multiple Doppler modality assumptions and measurement parameters before the actual sensing operation. The UE is provided with a sensing configuration including Doppler modality assumptions, measurement sample configurations, and reporting parameters in advance, allowing the system to prepare optimal measurement strategies before executing the positioning task.
Solution Approach 2:
The system collects more measurement samples and parameters than the minimum required, processing multiple Doppler modality assumptions simultaneously. By measuring reference signals from multiple TRPs and analyzing multiple potential Doppler modalities, the system obtains excess data that enables more robust statistical analysis and higher confidence in the determined target characteristics.
3Measurement precision
If Doppler modality determination is performed with high accuracy, then positioning precision improves, but the processing time and resource consumption increase
Solution Approach 1:
The sensing server pre-configures multiple Doppler modality assumptions and measurement parameters before the actual sensing operation. The UE is provided with a sensing configuration including Doppler modality assumptions, measurement sample configurations, and reporting parameters in advance, allowing the system to prepare optimal measurement strategies before executing the positioning task.
Solution Approach 2:
The system dynamically adapts the measurement and processing strategy based on the determined Doppler modality. Once the UE identifies the actual Doppler modality by comparing measurements against pre-configured assumptions, it can optimize subsequent measurements and reporting based on the known modality characteristics, reducing processing time for subsequent operations while maintaining high positioning accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the likelihood of correctly reflecting the true modality of the target object, thereby increasing processing efficiency and enhancing the accuracy of positioning and data transfer in 5G wireless systems.
Implementation Method 1
processing a set of measurement samples associated with the sensing session to obtain a determined Doppler modality of the target object
Data Source
AI summary
In an aspect, a processing device may receive, from a sensing server for a sensing session, a sensing configuration indicating one or more Doppler modality assumptions of a target object. The processing device may process a set of measurement samples associated with the sensing session to obtain a determined Doppler modality of the target object based on the one or more Doppler modality assumptions of the target object. The processing device may report, to the sensing server, one or more parameters indicative of the determined Doppler modality of the target object.


