Radar Sensor Calibration via Statistical Deviation Compensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Radar sensors in driver assistance systems face calibration deviations due to aging, temperature, and misalignment effects, leading to angle errors and degradation of correlation values, which impair multi-target angle estimation and object formation.
Innovation Solution
A method for calibrating radar sensors by calculating deviations between measured and control vectors from radar measurements, compensating antenna patterns, and applying statistical evaluation to improve correlation values, allowing for global or angle-dependent compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If antenna patterns are measured at the factory and stored in predefined format, then manufacturing precision is improved, but reliability deteriorates due to deviations from aging, temperature, and installation effects
Solution Approach 1:
The patent applies preliminary action by storing multiple pre-measured antenna patterns for different temperature ranges and installation positions before actual operation. When the radar sensor operates, it selects and uses the appropriate pre-measured pattern based on current conditions, avoiding the need for real-time remeasurement while maintaining accuracy despite aging, temperature, or installation variations.
2Ease of manufacture
If analytical antenna patterns are defined computationally, then ease of manufacture is improved, but measurement precision deteriorates due to assumptions about relative phases
Solution Approach 1:
The patent applies parameter changes by switching from a single analytical formula approach to multiple empirically measured patterns with different parameters (temperature ranges, installation positions). Each pre-measured pattern captures actual phase and amplitude characteristics under specific conditions, replacing the idealized analytical assumptions with real-world measured data that accounts for manufacturing tolerances and environmental variations.
3Ease of operation
If standardization of antenna pattern format is applied, then ease of operation is improved, but adaptability deteriorates due to inability to compensate for individual sensor deviations
Solution Approach 1:
The patent applies universality by creating a standardized data structure that can accommodate multiple antenna patterns for different conditions (temperatures, positions). The control device uses a universal evaluation algorithm that automatically selects and processes the appropriate pre-measured pattern based on current sensor conditions, making the system adaptable to individual deviations while maintaining ease of operation through standardized procedures.
Data Source
AI summary
A method for calibrating a radar sensor. The method includes storing an antenna pattern, which assigns a control vector to each of a plurality of angles, before the radar sensor is put into operation; performing radar measurements for one or more targets; respectively storing the receive signals for each target in a measured value vector for the target; calculating the deviation of the measured value vector from the control vector for each target; statistically evaluating the calculated deviations for all targets; and compensating the antenna pattern or the radar measurements with the statistically evaluated deviation.