Cooperative Wireless Positioning Using Shared Vehicle Measurements
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Solution Overview
Problem
Existing positioning technologies in wireless networks face challenges in achieving accurate position estimation due to estimation errors, particularly in rapidly moving vehicular environments.
Innovation Solution
Wireless devices, such as cars, overhear and share positioning measurements with neighboring vehicles, combining these with other information sources to enhance positioning accuracy through methods like RTT signaling and RSTD measurements, and communicate parameters like location estimates and confidence levels to improve estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods (OTDOA, GNSS) are used, then positioning service is provided, but positioning accuracy is insufficient due to estimation errors
Solution Approach 1:
The patent combines positioning measurements from multiple wireless devices (UTDOA measurements from multiple eNBs, GNSS measurements, and vehicle sensor data) into a unified positioning solution. The location server integrates these diverse measurement sources to compute accurate position estimates, resolving the contradiction by merging multiple measurement types to improve precision while reducing estimation errors.
Solution Approach 2:
The patent implements feedback mechanisms where positioning information and measurement data are continuously exchanged between wireless devices and the location server. The system uses feedback loops to refine position estimates based on actual measurements and adjust positioning calculations in real-time, thereby improving accuracy and reducing estimation errors through iterative refinement.
2Measurement precision
If multiple positioning measurement sources are collected, then positioning accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the positioning system into distinct functional components: wireless devices performing local measurements (UTDOA, GNSS), a central location server processing data, and communication interfaces for data exchange. This segmentation allows each component to handle specific tasks independently, managing system complexity while collecting multiple measurement sources for improved accuracy.
Solution Approach 2:
The location server acts as an intermediary that consolidates positioning measurements from multiple sources (eNBs, GNSS, vehicle sensors) and processes them into accurate position estimates. This intermediary approach centralizes the complexity of integrating multiple measurement types in a dedicated server, keeping individual device complexity low while achieving high positioning accuracy through aggregated data processing.
Data Source
AI summary
A method (700, 800), system (3210) and apparatus (900, 1000) are disclosed. According to one aspect, a method (700) for determining positioning is performed by a wireless device (1000). The method (700) comprising: receiving (720) a reference signal and performing a positioning measurement based on the received reference signal; receiving (730) positioning information based on the received reference signal, wherein the received positioning information comprises a positioning measurement reported by a neighbouring wireless device performed on the reference signal; and determining (740) further positioning information based on the positioning measurement and the received positioning information.


