Positioning Support Table Using 3D Map Grid Points
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Solution Overview
Problem
In communication systems, the positioning performance of user equipment (UE) is degraded due to obstacles causing multipath signals, which affect the accuracy of distance estimation between the UE and base stations.
Innovation Solution
A positioning support table is generated using a 3D map of a predetermined area, with grid points set to determine physical parameters of signals from base stations, allowing for improved positioning by correcting pseudo ranges and angles of arrival, thereby enhancing positioning accuracy without frequent updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the positioning support table is updated frequently to maintain high positioning performance, then positioning accuracy is improved, but the cost and complexity of updates increase
Solution Approach 1:
The patent pre-calculates and stores correction values in a positioning support table during an offline phase, before actual positioning operations. The table contains pre-computed corrections for various grid points based on 3D map data and signal propagation models. During runtime, the UE simply queries the pre-prepared table rather than performing complex real-time calculations, thereby maintaining high positioning accuracy without requiring frequent expensive updates.
Solution Approach 2:
The patent creates a virtual 3D map model that replicates the physical environment's geometric features. This digital copy includes building structures, terrain, and other obstacles that affect signal propagation. By working with this simplified digital replica rather than the complex real-world environment, the system can pre-compute positioning corrections efficiently and store them in the support table, reducing both computational complexity and update costs.
2Reliability
If the positioning support table is updated frequently to reflect environmental changes, then positioning performance is maintained, but the update cost increases significantly
Solution Approach 1:
The system performs comprehensive positioning table updates in advance during offline periods when computational resources are abundant and environmental changes are minimal. The pre-computed table remains valid for extended periods, reducing the frequency of updates needed. When updates do occur, they can be scheduled during low-traffic periods, minimizing impact on operational energy consumption.
Solution Approach 2:
The patent divides the service area into multiple grid points and only updates correction values for specific local regions when environmental changes occur in those areas. Rather than performing full-table updates globally, the system can selectively refresh only the affected local portions of the positioning support table, significantly reducing the energy and computational cost of updates while maintaining positioning performance where it matters.
3Ease of manufacture
If traditional positioning methods are used without correction values, then the system is simpler to implement, but positioning accuracy is degraded due to multipath effects
Solution Approach 1:
The patent introduces a positioning support table as an intermediary component between the UE and the base stations. This table acts as a lookup reference that translates raw signal measurements into corrected position estimates. The UE queries the pre-computed correction values from the table based on its measured signal parameters, then applies these corrections to achieve high accuracy without implementing complex real-time signal processing algorithms for multipath mitigation.
Data Source
AI summary
Provided is a positioning support table generation method performed by a computing apparatus, the method including generating a three-dimensional (3D) map based on geographic and building information about a predetermined area; setting a plurality of grid points on the 3D map; determining a first base station corresponding to a grid point with respect to each of the plurality of grid points set on the 3D map; calculating at least one physical parameter about a first signal that arrives at the grid point from the first base station and at least one physical parameter about a second signal that arrives at the gird point from a second base station that is one of base stations adjacent to the first base station; and generating a positioning support table based on the at least one physical parameter about the first signal and the at least one physical parameter about the second signal.


