RF Receiver Metric Estimation for Positioning Accuracy
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Solution Overview
Problem
Current wireless communication networks lack effective methods for obtaining and verifying RF performance metrics for receivers used in positioning and timing measurements, particularly for Location Measurement Units (LMUs) in LTE networks, leading to inaccuracies and limitations in UL positioning measurements.
Innovation Solution
A method and system for calculating detection probability and false alarm rates for RF signals used in positioning and timing measurements, allowing for the estimation of RF performance metrics and adaptive configuration of receiver RF types to meet predefined performance standards, enabling improved accuracy and flexibility in UL positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TDOA-based positioning is implemented in wireless networks, then positioning capability is provided, but measurement accuracy deteriorates due to lack of effective RF performance verification methods
Solution Approach 1:
The patent implements a feedback mechanism where measurement results from the receiver are analyzed to calculate detection probability and false alarm rate. These calculated metrics are then used to determine RF performance metric estimates, which feed back into adjusting the receiver configuration. This closed-loop feedback system enables continuous verification and improvement of measurement accuracy without requiring additional hardware infrastructure.
Solution Approach 2:
The system performs self-verification by using the receiver itself to conduct measurements and generate measurement results. The detection probability and false alarm rate are calculated from these self-generated results, eliminating the need for external test equipment or additional verification infrastructure. The receiver serves both as the measurement instrument and the subject of verification.
2Device complexity
If receiver RF configuration is fixed, then device complexity is reduced, but adaptability to different measurement conditions deteriorates
Solution Approach 1:
The patent transforms the static receiver configuration into a dynamic system that automatically adapts to different measurement conditions. The receiver RF configuration is adjusted based on calculated RF performance metric estimates, allowing the system to optimize its performance for specific measurement scenarios such as urban environments or different signal conditions without requiring manual intervention or complex preconfiguration.
Solution Approach 2:
The system changes key receiver parameters including detection probability thresholds and false alarm rate limits based on calculated performance metrics. By dynamically adjusting these parameters according to the measured RF performance, the receiver adapts its operating characteristics to match current measurement conditions, improving versatility while maintaining manageable complexity through automated parameter selection.
Data Source
AI summary
A technique for obtaining a radio frequency (RF) performance metric estimate for a receiver used for at least one of a positioning measurement and a timing measurement is described. A method implementation of that technique includes the steps of calculating at least one of a detection probability and a false alarm rate for a radio signal usable for the measurement, and obtaining at least one RF performance metric estimate for the receiver based on at least one of the calculated detection probability and the calculated false alarm rate.