Positioning Accuracy via SNR-Based Channel Parameter Feedback
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Solution Overview
Problem
Accurate determination of wireless channel parameters for enhanced positioning of mobile electronic devices using terrestrial transceivers is challenging due to limitations in Signal-to-Noise Ratio (SNR), affecting the resolution of super-resolution algorithms in Round-Trip-Time (RTT) and Uplink Time Difference Of Arrival (UTDOA) measurements.
Innovation Solution
The method involves leveraging information from signals with stronger SNR to determine the number of distinct paths and complex sinusoids, and a quality metric for the wireless channel model, which is shared between the User Equipment (UE) and the base station or location server to enhance positioning accuracy using reciprocal wireless channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If super-resolution algorithms are used to enhance positioning accuracy, then measurement precision is improved, but the reliability deteriorates due to limited SNR
Solution Approach 1:
The UE determines a quality metric for the wireless channel model based on the estimated parameters and feeds back this quality information to the location server. The location server uses this feedback to assess whether the channel model parameters are reliable enough for accurate positioning, and can request additional measurements or use alternative methods if the quality metric indicates insufficient reliability.
Solution Approach 2:
The system changes the parameter being measured from raw signal data to derived channel parameters (number of paths, complex sinusoids, quality metric). By transforming the measurement domain, the system can achieve higher positioning precision while managing reliability through the quality metric that indicates the confidence level of these parameter estimates.
2Adaptability or versatility
If channel parameters are estimated from uplink transmissions, then positioning capability is improved, but measurement precision deteriorates due to SNR limitations
Solution Approach 1:
The positioning capability is segmented into two independent parts: (1) the UE's ability to estimate channel parameters from uplink signals, and (2) the location server's ability to use these parameters for positioning. The quality metric serves as a boundary condition that separates reliable positioning scenarios from unreliable ones, allowing the system to adapt when precision is insufficient.
Solution Approach 2:
The quality metric acts as an intermediary between the channel parameter estimation and the final positioning calculation. It mediates the relationship by providing the location server with information about the reliability of the estimated parameters, allowing the server to decide whether to proceed with positioning or request additional data.
Data Source
AI summary
Techniques for position estimation using uplink (UL) and downlink (DL) signals via a fully or partially reciprocal wireless channel between a User Equipment (UE) and terrestrial transceiver can be enhanced by leveraging information obtained from UL or DL signals having the stronger Signal-to-Noise Ratio (SNR). This information can include the number of paths and/or complex sinusoids, and can be shared with the base station or location server to parameterize the model of the wireless channel. In some embodiments, the UE can further determine a quality metric for the model and send it to the location server or terrestrial transceiver.