Radar Sensor Calibration Using Moving Target Data
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Solution Overview
Problem
Current radar sensor calibration methods, particularly for automotive radar sensors, are cost-intensive and time-consuming, especially when dealing with moving targets and requiring initial chamber calibration.
Innovation Solution
A computer-implemented method for radar sensor calibration that obtains measurement data indicative of radial velocity and angle, allowing for online calibration without chamber calibration, using data sets and angle data to calibrate the radar sensor, with optional weighting and disambiguation processes to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If chamber calibration is performed for radar sensor calibration, then calibration accuracy is improved, but calibration time and cost increase significantly
Solution Approach 1:
The radar sensor performs self-calibration by utilizing measurement data from moving targets in the environment. The system automatically determines calibration parameters using radial velocity and angle data without requiring external chamber facilities or manual intervention, thereby eliminating the time-consuming chamber calibration process while maintaining calibration accuracy through environmental target tracking
Solution Approach 2:
Moving targets in the environment serve as intermediaries for calibration. Instead of using specialized chamber equipment, the system utilizes naturally occurring moving targets to provide measurement data that enables calibration. The targets act as mediators between the radar sensor and the calibration process, allowing accurate calibration without direct chamber intervention
2Measurement precision
If chamber calibration is performed for radar sensor calibration, then calibration accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The radar sensor system performs self-calibration using its own measurement capabilities and environmental targets. The system processes measurement data from moving targets to determine calibration parameters autonomously, eliminating the need for complex chamber equipment, specialized facilities, and manual calibration procedures, thereby reducing device complexity and cost while maintaining calibration accuracy
Solution Approach 2:
The radar sensor system performs multiple functions including both normal operation and self-calibration using the same hardware and software resources. The system utilizes its existing measurement capabilities to simultaneously perform target detection and calibration, eliminating the need for separate calibration equipment and facilities, thereby reducing device complexity and cost
3Measurement precision
If traditional calibration methods are used for moving targets, then calibration accuracy is improved, but calibration time increases
Solution Approach 1:
The calibration process operates continuously during normal radar operation by continuously tracking moving targets and updating calibration parameters in real-time. The system maintains continuous calibration through ongoing measurement and processing of target data, eliminating the need for separate, time-consuming calibration sessions while maintaining calibration accuracy for moving targets
Solution Approach 2:
The system performs real-time self-calibration by continuously processing measurement data from moving targets during normal operation. The automatic calibration process runs concurrently with target detection and tracking, enabling rapid calibration updates without interrupting radar functionality, thereby improving calibration speed while maintaining accuracy for moving targets
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
This method enables efficient and robust calibration of radar sensors, particularly for moving targets, reducing the need for initial chamber calibration and allowing for real-time calibration, enhancing the detection of objects in various environments.
Implementation Method 1
obtaining measurement data from a radar sensor by one or more radar signals, the measurement data being indicative of a radial velocity of an object
Data Source
AI summary
A computer-implemented method for calibration of a radar sensor. The method includes obtaining measurement data from a radar sensor by one or more radar signals. The measurement data is indicative of a radial velocity of an object and includes a range dimension. The method includes determining, based on the obtained measurement data, one or more data sets indicative of a variation of the one or more radar signals. The method includes determining, based on the one or more data sets and/or based on the obtained measurement data, angle data relating to the object. The method includes calibrating, based on the one or more data sets and the angle data, the radar sensor.