Radar Sensor Correction Angles via Sector-Specific Statistical Evaluation
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Solution Overview
Problem
Existing methods for calibrating radar sensors in motor vehicles are inaccurate due to the blurring of systematic angle errors across the entire positioning angle range, leading to faulty angle measurements, especially at greater distances, and fail to distinguish between misalignment and systematic errors.
Innovation Solution
The method subdivides the positioning angle range into multiple sectors for separate statistical evaluation, allowing for individual correction angles that account for both misalignment and systematic errors, with interpolation between sectors for precise angle correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If statistical evaluation of positioning data is performed across the entire positioning angle range, then the calibration process is simplified, but systematic angle errors are blurred and measurement precision deteriorates
Solution Approach 1:
The positioning angle range is divided into multiple sectors (e.g., left, center, right sectors). Statistical evaluation is performed separately for each sector to obtain individual correction angles. This segmentation prevents the blurring of systematic angle errors that occur when evaluating all data together, while still maintaining a simplified calibration process compared to comprehensive multi-point calibration methods.
2Productivity
If correction angles are determined for the entire positioning angle range, then the calibration is faster, but accuracy deteriorates at greater distances due to uncorrected systematic errors
Solution Approach 1:
By segmenting the angle range into sectors and performing rapid statistical evaluation for each sector, the method achieves both speed and accuracy. The segmented approach allows parallel processing of different angle ranges, maintaining calibration speed while eliminating the distance-related accuracy degradation caused by uncorrected systematic errors.
Solution Approach 2:
Different correction angles are determined for different sectors of the positioning angle range. This local quality approach ensures that systematic errors specific to each angular sector are corrected appropriately, improving positioning accuracy at all distances without compromising calibration speed.
3Device complexity
If a single correction angle is used for all positioning angles, then the calibration process is simpler, but reliability deteriorates due to inability to account for angle-dependent systematic errors
Solution Approach 1:
The calibration system is divided into multiple sectors with separate correction angle determination for each. This segmentation increases reliability by accounting for angle-dependent systematic errors while keeping each sector's correction process simple and independent, avoiding the need for complex comprehensive correction models.
Solution Approach 2:
The correction angle parameter is made dependent on the angular sector rather than being a single fixed value. This parameter change allows the system to adapt to different systematic error characteristics in different angular ranges, improving reliability without requiring overly complex calibration procedures.
Data Source
AI summary
A method for estimating correction angles in a radar sensor for motor vehicles, by which method a correction angle that considers a misalignment of the radar sensor is calculated by a statistical evaluation of positioning data that were recorded by the radar sensor. The positioning angle range of the radar sensor is subdivided into multiple sectors. The statistical evaluation of the positioning data for the different sectors is performed separately for the different sectors so that an individual correction angle is obtained for each sector.