Map-Aiding Positioning Integrity Verification Against Spoofing
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges in ensuring the integrity and accuracy of map data used for positioning, which can lead to inaccurate navigation guidance due to potential spoofing events.
Innovation Solution
A method and apparatus for map-aiding positioning that verify the integrity of map data by using multiple sources, such as multi-map source crosscheck, visual data consistency check, GNSS/IMU/magnetometer sensor consistency check, RF-beacon check, and radar-based consistency check, to ensure the data meets an accuracy threshold and avoid spoofing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If map data is used for positioning without integrity verification, then positioning service is provided, but navigation accuracy deteriorates due to potential spoofing events
Solution Approach 1:
The patent applies preliminary action by verifying the integrity of map data before using it for positioning. The system checks whether the map data is authentic and has not been spoofed prior to incorporating it into positioning calculations, thereby preventing inaccurate positioning from compromised data sources.
Solution Approach 2:
The patent implements feedback mechanisms where the positioning device receives and processes integrity verification results from multiple sources. The system uses feedback information about map data authenticity to determine whether to trust and use the data for positioning, dynamically adjusting its behavior based on verification outcomes.
2Reliability
If multiple map data sources are used for crosscheck, then positioning reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the verification process into separate functional modules, each responsible for checking integrity from different sources (e.g., network-based verification, sensor-based verification). This modular approach allows the system to manage multiple verification sources without creating a monolithic complex system.
Solution Approach 2:
The patent implements universality by designing a multi-functional verification framework where a single positioning device can utilize multiple types of verification sources (network, sensor, visual) through a unified integrity verification mechanism, reducing overall system complexity while maintaining high reliability.
Data Source
AI summary
Aspects presented herein may enable a UE to verify the integrity of map data, thereby improving the accuracy and safety of map-aiding positioning and/or map-based positioning. In one aspect, a UE performs a map-aiding positioning based on a first set of map data. The UE verifies whether an integrity of the first set of map data meets an accuracy threshold. The UE discards the first set of map data if the verification of the integrity of the first set of map data does not meet the accuracy threshold. For example, the UE may compare the first set of map data with a second set of map data from a different source, and identify the integrity of the first set of map data does not meet the accuracy threshold if the comparison shows an indication of inconsistency above a consistency threshold.


