Vehicle Interference Source Identification via Signal Bearing and Timestamp Correlation
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Solution Overview
Problem
Existing methods fail to accurately link fault detection with image recording of vehicles carrying interference sources that impair GNSS receivers, particularly in scenarios where the distance between detection and image capture devices is impractical, leading to incorrect identification of vehicles.
Innovation Solution
A method and system utilizing a signal direction-finding device to detect interference sources and determine optimal bearing angles, allowing for automated and unattended image capture of vehicles carrying interference sources at the precise time they pass a predetermined recording position, enabling accurate identification of interfering vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image recording device is positioned at a predetermined distance to capture the license plate at the moment of fault detection, then the identification accuracy is improved, but the device complexity and installation practicality deteriorate
Solution Approach 1:
The patent introduces a time correlation mechanism as an intermediary between the fault detection device and the image recording device. Instead of requiring precise spatial positioning, the system uses timestamp correlation to link the detected fault with the captured image, allowing flexible device placement while maintaining identification accuracy
Solution Approach 2:
The patent replaces the mechanical positioning requirement (predetermined distance for license plate capture) with a temporal correlation system. The fault detection time and image recording time are correlated through timestamps, eliminating the need for complex mechanical positioning and making the system easier to install and more adaptable to different scenarios
2Measurement precision
If the image recording device is placed at the optimal position to capture the license plate, then the identification accuracy is improved, but the distance between detection and recording devices becomes impractical
Solution Approach 1:
The time correlation mechanism serves as an intermediary that decouples the spatial relationship between the fault detection device and the image recording device. By correlating events through timestamps rather than requiring direct spatial proximity, the system can place devices at practical distances while maintaining accurate identification
Solution Approach 2:
The patent transitions from a spatial solution (positioning the image recording device at a specific distance) to a temporal solution (correlating fault detection time with image recording time). This dimensional shift allows the system to maintain identification accuracy without being constrained by impractical device spacing
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification of vehicles generating interference on GNSS bands by correlating fault detection with image recording, allowing for automated and targeted determination of interfering vehicles without human intervention, regardless of the distance between detection and image capture devices.
Implementation Method 1
detecting an interference signal from a source of interference and determining at least one bearing angle of the source of interference by means of a signal direction-finding device
Data Source
Figure 1a~1d
Figure 2a~2b
Figure 2c~3
AI summary
The invention relates to a method and a system for the image capture of a motor vehicle (10) which carries a source of interference (12) which is suitable to impair the intended function of a radio signal receiver, by means of at least one signal direction finding device (20) and at least one image acquisition device (30).The method comprises the following steps: detecting an interference signal from the interference source (12) and determining at least one bearing angle (ϕ) of the interference source (12) using the signal bearing device (20); determining, based on the determined bearing angle (ϕ), an optimal time or time range at which the motor vehicle (10) assumes a position relative to the image acquisition device (30) that enables the identification of the motor vehicle (10) using at least one image acquired at the optimal time or within the optimal time range, using a bearing angle processing device; and acquiring at least one image of the motor vehicle (10) or of a motor vehicle area of the motor vehicle (10) at the optimal time or within the optimal time range using the image acquisition device (30).