Radar Axial Misalignment Estimation From Road-Surface Reflections
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Solution Overview
Problem
Conventional radar apparatuses struggle to accurately estimate axial misalignment angles, particularly in the height direction, which affects the accuracy of radar beam alignment.
Innovation Solution
An axial misalignment estimation apparatus that acquires reflection point information, extracts road-surface reflection points, and estimates axial misalignment angles and mounting height using a relational expression involving unknown parameters and elements in the apparatus system coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar apparatuses estimate axial misalignment angle based on reception strength of reflected wave, then the estimation process is simple, but the measurement precision of axial misalignment angle is insufficient
Solution Approach 1:
The patent transitions from one-dimensional reception strength measurement to three-dimensional spatial coordinate analysis. By extracting road surface reflection points and calculating their apparatus system coordinates (x, y, z), the system utilizes spatial dimension information to accurately determine axial misalignment angles in both horizontal and vertical directions, significantly improving measurement precision.
Solution Approach 2:
The patent segments the radar detection space into multiple reflection points and identifies specific road surface reflection points separately. By dividing the overall detection area and analyzing reflection points in different spatial regions, the system can independently calculate misalignment angles in horizontal and vertical directions, enhancing estimation accuracy without overwhelming complexity.
2Measurement precision
If the radar apparatus estimates only horizontal misalignment, then the device complexity is low, but the measurement precision of overall axial misalignment is insufficient
Solution Approach 1:
The patent creates a universal estimation system that simultaneously handles both horizontal and vertical axial misalignment using the same road surface reflection point analysis framework. The apparatus system coordinates calculation method is applied universally to determine misalignment angles in multiple directions, providing comprehensive alignment accuracy without requiring separate specialized systems for each direction.
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
Simultaneously estimates both axial misalignment angle and mounting height, improving the accuracy of radar beam alignment and enhancing the reliability of radar systems.
Implementation Method 1
a radar apparatus 2 that detects an object
Implementation Method 2
extracts, from the plurality of reflection points, at least a single road-surface reflection point that is detected by reflection on a road surface
Data Source
AI summary
An axial misalignment estimation apparatus, mounted in a moving body, acquires reflection point information for each of reflection points detected by a radar apparatus, extracts, from the reflection points, at least a single road-surface reflection point detected by reflection on a road surface, based on the reflection point information. Based on the reflection point information, the axial misalignment estimation apparatus identifies, for each road-surface reflection point, apparatus system coordinates based on coordinate axes of the radar apparatus, and estimates an axial misalignment angle and a height of the radar apparatus using a relational expression established between at least two unknown parameters and at least two elements included in the apparatus system coordinates of the road-surface reflection point. The unknown parameters include the axial misalignment angle being a misalignment angle of a coordinate axis of the radar apparatus around a target axis, and a mounting height of the radar apparatus.