Radar Calibration Using Static Object Ground Truth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar calibration on moving platforms is complicated by the inability to access areas with ground truth information, making it challenging to ensure the accuracy of range, velocity, and position data obtained by radar systems.
Innovation Solution
A method and system that utilize a mobile platform's global positioning and a mapping algorithm to determine the relative position of static objects, allowing for the calculation of a correction matrix to correct radar signals, thereby calibrating the radar system effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the radar system is installed on a moving platform, then the radar system can be deployed in mobile applications, but the calibration process becomes complicated because the platform cannot be brought back to areas with ground truth information
Solution Approach 1:
The patent introduces mapping algorithms and GPS positioning as intermediary tools to obtain ground truth information about static objects without requiring physical access to calibration areas. The mapping system serves as a mediator between the mobile radar platform and the static calibration targets, enabling calibration data acquisition from any location with signal coverage.
Solution Approach 2:
The system performs preliminary mapping and positioning of static objects in advance, creating a database of ground truth information that can be accessed later during calibration. This preliminary action eliminates the need to physically return to calibration areas, as all necessary reference data is pre-acquired through mapping algorithms.
2Measurement precision
If ground truth information is required for radar calibration, then measurement accuracy can be ensured, but the inability to access calibration areas on moving platforms prevents accurate calibration
Solution Approach 1:
The system uses the mobile platform's own GPS receiver and mapping algorithms to generate ground truth information autonomously. Rather than requiring external calibration facilities, the system serves itself by leveraging its positioning capabilities and pre-stored mapping data to perform self-calibration at any location.
Solution Approach 2:
The calibration system is designed to work universally at any location by combining GPS positioning, mapping algorithms, and radar measurements. This multi-functional approach allows the same system to perform both navigation and calibration functions without requiring location-specific infrastructure.
3Adaptability or versatility
If static objects are used for calibration on moving platforms, then calibration can be performed anywhere, but the system must accurately determine relative positions using mapping algorithms
Solution Approach 1:
The patent replaces mechanical measurement systems with electronic and computational methods. Instead of using physical measurement tools to determine relative positions, the system uses GPS coordinates and mapping algorithms to calculate positions computationally, significantly reducing the difficulty of position determination.
Data Source
AI summary
A system and method perform calibration of a radar system on a mobile platform. A position of the platform is obtained along with a relative position of one or more stationary objects from the platform using the position of the platform and a mapping algorithm as ground truth and one or more radar parameters regarding the one or more stationary objects using the radar system, the one or more radar parameters including an angle estimate. The method includes determining a correction matrix based on the one or more parameters and the ground truth, and obtaining corrected received signals from subsequent received signals of the radar system based on the correction matrix.