Trajectory-Based LOS Guidance for NLOS RTT Correction
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately determining and establishing a line of sight (LOS) path due to non-line of sight (NLOS) conditions, leading to erroneous distance and direction information, and large errors in ranging estimates, particularly in NLOS situations where the LOS path is blocked.
Innovation Solution
Implementing trajectory-based LOS path instructions and round trip time (RTT) correction methods, which utilize inertial sensor measurements and non-linear combinations of RTT measurements to guide users in re-establishing a LOS path and correct RTT measurements based on estimated displacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RTT measurements are performed in NLOS conditions, then positioning service is provided, but large errors in ranging estimates occur
Solution Approach 1:
The patent detects NLOS conditions and converts this harmful situation into a benefit by identifying trajectory-based LOS paths. When NLOS is detected, the system uses sensor data to determine the device's trajectory and identifies future time instances where LOS conditions are expected to occur, thereby converting the harmful NLOS situation into a beneficial LOS situation for accurate positioning.
Solution Approach 2:
The patent performs preliminary actions by detecting NLOS conditions early and proactively identifying trajectory-based LOS paths before the device actually reaches them. The system calculates future time instances where LOS is expected to occur and prepares instructions for the user to move to these positions, allowing corrective action to be taken before positioning errors become critical.
2Measurement precision
If trajectory-based instructions are provided to guide users to LOS path, then ranging accuracy is improved, but device complexity increases
Solution Approach 1:
The patent leverages the existing sensor system (accelerometer, gyroscope, magnetometer) that is already present in mobile devices for other functions like navigation and motion detection. By reusing this existing sensor infrastructure for trajectory-based LOS path identification, the system achieves improved positioning accuracy without significantly increasing device complexity, as the sensors serve multiple purposes.
Solution Approach 2:
The system uses the device's own existing sensors and processing capabilities to determine its trajectory and identify LOS paths, rather than requiring external infrastructure. The device self-services by utilizing its built-in sensor data to generate positioning corrections, reducing the need for additional complex external systems.
3Measurement precision
If multiple RTT measurements are performed and corrected, then positioning accuracy is improved, but power consumption increases
Solution Approach 1:
The patent performs RTT measurements and trajectory analysis at specific periodic intervals rather than continuously. The system identifies future time instances where LOS conditions are expected to occur and schedules measurements accordingly, performing corrections only when NLOS is detected or when approaching identified LOS opportunities. This periodic approach reduces power consumption compared to continuous monitoring while maintaining positioning accuracy.
Data Source
AI summary
Aspects of the disclosure are directed to LOS path instructions for a user of a UE. In a particular aspect, after detection of an NLOS path, the LOS path instructions provide guidance on how the user may move and/or reorient to (re)-establish a LOS path. In a particular aspect, the LOS path instructions are based on a trajectory of the UE over a period of time (e.g., by tracking the UE trajectory over a period of time which caused the LOS-to-NLOS path transition in the first place, the user can be guided back to the location where the LOS path was available). Further aspects of the disclosure are directed to round trip time (RTT) correction (e.g., based on a non-linear combination of multiple RTT measurements and/or an estimated displacement).