A-GNSS Testing Framework Using Captured Signal Playback
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Solution Overview
Problem
Current A-GNSS test methodologies rely on user-provided data, which may not accurately replicate real-world conditions, limiting the ability to effectively test the performance of A-GNSS-enabled devices in a controlled and repeatable manner.
Innovation Solution
A novel testing framework that combines the playback of captured GNSS signals with real-time emulation of assisted global navigation satellite system telemetry, allowing for the simulation of real-world environments and conditions to evaluate the performance of A-GNSS devices in a laboratory setting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user-provided data is used for A-GNSS testing, then testing can be performed in a controlled environment, but the test results may not accurately reflect real-world performance
Solution Approach 1:
The system performs preliminary field measurements to capture real GNSS signals and environmental conditions before laboratory testing. These pre-captured signals are then replayed in the controlled lab environment, allowing the test setup to be prepared in advance with authentic real-world data while maintaining experimental control during actual testing.
Solution Approach 2:
The system creates accurate copies of real-world GNSS signals by capturing actual satellite signals during field measurements and replaying them in the laboratory. This copying approach preserves the authentic characteristics of real-world signals including multipath effects and signal variations, enabling realistic testing without leaving the controlled lab environment.
2Measurement precision
If field tests are conducted to achieve real-world conditions, then accurate performance data can be obtained, but testing becomes labor-intensive and time-consuming
Solution Approach 1:
Real-world GNSS signals and environmental conditions are captured during preliminary field measurements and stored for later use. This one-time field data collection enables multiple subsequent laboratory tests to be performed efficiently without repeated field trips, significantly improving productivity while maintaining measurement accuracy through the use of authentic signal recordings.
Solution Approach 2:
The system copies real GNSS signals into a replayable format that can be used repeatedly in laboratory settings. This eliminates the need to conduct time-consuming field tests for each testing scenario, as the same authentic signals can be replayed multiple times under different test conditions, thereby大幅提高 testing efficiency while preserving measurement fidelity.
3Reliability
If repeated field tests are performed to verify performance consistency, then real-world variability can be assessed, but the time and resources required increase significantly
Solution Approach 1:
The system creates reusable copies of real-world GNSS signal recordings that can be played back multiple times in the laboratory. This allows numerous repeated tests to be conducted using the same authentic signal data without requiring additional field trips, enabling thorough assessment of performance consistency while minimizing time loss. The copied signals preserve all real-world variations for comprehensive reliability evaluation.
Data Source
AI summary
The technology disclosed relates to implementing a novel-testing framework that combines playback of captured GNSS signals with real-time emulation of assisted global navigation satellite system telemetry (abbreviated A-GNSS) in a test session with a mobile device. In particular, it can be used for testing A-GNSS performance of communication devices, navigation systems, telematics and tracking applications.