Radar Axial Misalignment Estimation with Aliasing Correction
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Solution Overview
Problem
Existing radar systems fail to accurately estimate axial misalignment angles due to aliasing errors, leading to incorrect detection of reflection points and reduced estimation accuracy.
Innovation Solution
An axial misalignment estimation apparatus that corrects orientation angles for stationary reflection points by determining the presence of aliasing using first and second estimated speed ratios, and adjusts the axial misalignment angle based on corrected orientation angles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If axial misalignment estimation is performed using conventional radar orientation angles, then the estimation process is simple, but the estimation accuracy deteriorates due to aliasing errors
Solution Approach 1:
The patent applies preliminary action by detecting aliasing in orientation angles before performing axial misalignment estimation. The system identifies aliased reflection points using speed ratio comparisons in advance, corrects their orientation angles, and then proceeds with accurate estimation. This prevents aliasing errors from contaminating the final estimation result.
Solution Approach 2:
The patent uses speed ratio as an intermediary parameter to detect aliasing. By comparing the speed ratio calculated from orientation angle with the speed ratio calculated from relative speed, the system identifies when aliasing has occurred. This intermediary comparison mechanism enables accurate detection of aliased reflection points without directly observing the aliasing phenomenon.
2Measurement precision
If all reflection points are used for axial misalignment estimation, then the estimation uses more data, but the accuracy deteriorates due to inclusion of aliased reflection points
Solution Approach 1:
The patent applies local quality by treating reflection points differently based on their individual characteristics. Instead of uniformly processing all reflection points, the system identifies aliased reflection points through local speed ratio comparisons and applies correction only to those specific points. This selective local correction maintains accuracy while avoiding unnecessary complexity in data selection.
3Measurement precision
If orientation angles are corrected for aliasing, then the detection precision of reflection points improves, but the processing time increases
Solution Approach 1:
The patent applies partial action by performing aliasing detection and correction only on reflection points where aliasing is actually present, rather than processing all reflection points uniformly. The system uses speed ratio comparisons to identify aliased points and applies correction selectively, avoiding unnecessary processing time for already accurate measurements while still improving overall precision.
Data Source
AI summary
An axial misalignment estimation apparatus calculates a first estimated speed ratio that is an estimated speed ratio calculated using an orientation angle that is corrected based on an axial misalignment angle estimated in measurement cycles up to a previous measurement cycle, and calculates at least one second estimated speed ratio that is the first estimated speed ratio presuming aliasing is present at the orientation angle. The axial misalignment estimation apparatus determines, for each stationary reflection point, whether aliasing is present at the orientation angle of the stationary reflection point based on the first estimated speed ratio and the at least one second estimated speed ratio, and corrects the orientation angle of the stationary reflection point in which aliasing is determined to be present, and estimates the axial misalignment angle based on the corrected orientation angle for the stationary reflection point of which the orientation angle is corrected.