Sensor Fusion Positioning Test System Using RTK and Error Modeling
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Solution Overview
Problem
Current test systems for positioning functionality, particularly in safety-critical applications like Car2Car navigation, face challenges in accurately simulating sensor outputs and error modeling for inertial measurement units (IMUs) and other sensors, which are essential for thorough and cost-effective testing.
Innovation Solution
A high precision Global Navigation Satellite System (GNSS) simulator and a sensor simulation unit capable of simulating real-time kinematic (RTK) signals and sensor errors based on real sensor datasheets, combined with a sensor error model unit to generate realistic simulation signals for testing positioning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robotic mechanisms are used to move the device under test to stimulate sensors, then sensor outputs can be generated for testing, but the testing becomes costly and complex
Solution Approach 1:
The patent uses a sensor simulation unit to generate simulated sensor outputs that copy the behavior of real sensors under various conditions. Instead of physically moving the DUT with robotic mechanisms, the system creates virtual sensor data that mimics what real sensors would produce during actual movement and environmental changes. This copying approach eliminates the need for complex robotic test equipment while maintaining testing effectiveness.
2Ease of manufacture
If generic error models are used for sensor simulation, then testing can be performed, but the accuracy of error representation is insufficient compared to real sensor datasheets
Solution Approach 1:
The patent implements an error model unit that dynamically adjusts simulation parameters based on the selected sensor model from the database. Instead of using fixed generic error values, the system retrieves specific parameters from real sensor datasheets (such as noise characteristics, bias, scale factor errors) and applies them to the simulation. This parameter-driven approach allows the test system to accurately represent the specific error characteristics of different sensor types while maintaining ease of use through automated parameter management.
Data Source
AI summary
A test system for testing the positioning functionality of a device under test (DUT) is provided. The test system includes a high precision global navigation satellite system (GNSS) simulator configured to simulate real-time kinematic (RTK) signals. The test system further includes a sensor simulator configured to simulate ideal sensor signals, and a sensor error model unit. The sensor error model unit is further configured to simulate sensor errors based on a real sensor datasheet. The simulated ideal sensor signals are combined with the simulated sensor errors to form real simulation signals.


