Vehicle GNSS satellite signal interference source detection method and device and storage medium

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By preprocessing vehicle trajectory data and performing DBSCAN cluster analysis, GNSS signal interference sources were identified, solving the positioning error problem caused by GNSS signal interference and improving the safety of intelligent transportation systems and electromagnetic environment management capabilities.

CN120908830AActive Publication Date: 2025-11-07CHINA AUTOMOTIVE INFORMATION TECH (TIANJIN) CO LTD

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Patent Information

Application Number: CN202511440925.2
Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner
Filing Date: 2025-10-10
Publication Date: 2025-11-07
Estimated Expiration: 2045-10-10

Application Information

Patent Timeline

10 Oct 2025

Application

CN202511440925.2

07 Nov 2025

Publication

CN120908830A

IPC: G01S19/21

CPC: G01S19/21; G01S19/215

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Application Domain

Satellite radio beaconing

Technology Topics

Intelligent transportation system its Engineering

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AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively identify and locate GNSS satellite signal interference sources, leading to positioning errors and threats to driving safety.

Method used

By collecting vehicle trajectory data, performing preprocessing and map matching, using the DBSCAN clustering algorithm to identify abnormal clusters, and combining statistical methods to determine the location of interference sources.

Benefits of technology

It enables high-probability detection of GNSS interference sources, ensuring the safety of intelligent transportation systems and electromagnetic environment management.

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Abstract

The invention relates to the technical field of interference source detection, in particular to a vehicle GNSS satellite signal interference source detection method and device and a storage medium. The method comprises the steps of collecting trajectory data of a vehicle; the trajectory data comprises time and position; analyzing the trajectory data to obtain an anomaly cluster with an aggregation anomaly phenomenon; the abnormal cluster comprises a plurality of abnormal trajectory data; the number of the abnormal clusters is at least one; determining an abnormal region according to the abnormal cluster; counting the number of vehicles with abnormal positioning in the abnormal area and the total number of vehicles passing through the abnormal area; and if the ratio of the number of the vehicles to the total number of the vehicles exceeds a set value, marking an interference source according to the abnormal area. According to the invention, track abnormity caused by GNSS interference can be effectively identified, high-probability detection of an interference source is realized, and powerful technical support is provided for safety protection of an intelligent traffic system and electromagnetic environment governance.

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