Relative Location Anchor Groups and Local Coordinates for Accurate Positioning
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving accurate position estimation, particularly in environments where absolute position estimation accuracy is below a threshold, and there is a need for improved methods to enhance spectral efficiency and reduce latency.
Innovation Solution
The use of a relative location anchor group (RLAG) with known relative locations among anchors for higher accuracy in relative position information, combined with transformation information to derive more accurate absolute position estimates, and the application of local coordinate systems for position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If absolute position estimation is used in existing wireless communication systems, then position information can be obtained, but the accuracy is below a threshold and insufficient for high-precision applications
Solution Approach 1:
The patent divides the position estimation problem into two separate estimation processes: absolute position estimation and relative position estimation. By segmenting the positioning function, the system can use RLAGs specifically for relative position estimation where high accuracy is required, while maintaining absolute position estimation for general location information. This segmentation allows each estimation method to be optimized for its specific purpose, resolving the contradiction between achieving high measurement precision and ensuring reliability.
Solution Approach 2:
The patent introduces RLAGs (Relative Location Anchor Groups) as an intermediary element between the UE and the network for relative position estimation. These RLAGs serve as reference points that enable high-accuracy relative positioning without requiring the UE to directly estimate absolute position from all anchors. The RLAGs act as a mediator that transforms the positioning problem into a more accurate relative estimation task, thereby improving measurement precision while maintaining system reliability.
2Productivity
If traditional position estimation methods are used, then position information can be provided, but spectral efficiency is not optimized and latency is high
Solution Approach 1:
The patent implements preliminary action by pre-configuring RLAGs with known relative locations and storing this information in advance. The network pre-processes and organizes anchor information into RLAG structures, so that when position estimation is needed, the UE can directly use the pre-established relative location relationships without performing complex real-time calculations. This preliminary preparation reduces both the computational latency and the spectral resources required during actual position estimation, thereby improving productivity while reducing time loss.
Solution Approach 2:
The patent introduces dynamic elements by allowing the network to flexibly configure and update RLAG compositions based on current network conditions, UE requirements, and environmental factors. The resource configuration for RLAG-based positioning can be dynamically adjusted to optimize spectral efficiency for different scenarios. This dynamic adaptability enables the system to achieve high spectral efficiency and low latency by selecting optimal positioning strategies in real-time, resolving the contradiction between productivity and time loss.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a relative location anchor group (RLAG) may facilitate a position estimation procedure in an environment where absolute position estimation accuracy is below a threshold. An absolute position estimate derived via the RLAG may optionally be transformed to a true (or more accurate) position estimate via transformation information. In some cases, new anchors may be added to the RLAG after performing a position estimation procedure with the RLAG. In other designs, a local coordinate system (LCS) may be used for position estimation in lieu of a global coordinate system (GCS), such as WGS 84.