Radar Axial Alignment Estimation Using Roadside Object Reflections
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Solution Overview
Problem
Existing axial displacement estimation systems for radar apparatuses have limitations in accuracy, necessitating improvements to enhance object detection precision.
Innovation Solution
A radar apparatus equipped with MIMO technology, multiple array antennas, and a control apparatus that switches between first and second modulation periods to enhance detection accuracy, utilizing both high-frequency chirp signals and array configurations to improve vertical and horizontal measurement angles, and employs a control system to adjust radar mounting angles based on observation point data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single modulation method is used for radar detection, then the device complexity is reduced, but the measurement precision of axial displacement angle deteriorates
Solution Approach 1:
The detection process is divided into two distinct modulation periods: a first modulation period using a first modulation method optimized for detecting roadside objects, and a second modulation period using a second modulation method optimized for measuring axial displacement angle. This segmentation allows each modulation method to be specialized for its specific function, improving overall measurement precision without requiring a single complex modulation method to handle all detection tasks
Solution Approach 2:
The radar apparatus dynamically switches between different modulation methods based on the detection task requirements. The control apparatus alternates between the first modulation period and second modulation period, selecting the appropriate modulation method for each phase. This dynamic adaptation enables the system to optimize performance for different measurement objectives while maintaining manageable device complexity
2Measurement precision
If multiple modulation methods are used to improve measurement precision, then the productivity of detection is improved, but the loss of time increases due to switching between modulation periods
Solution Approach 1:
The radar apparatus employs periodic modulation switching, alternating between the first modulation period and second modulation period in a regular cycle. This periodic action allows the system to efficiently switch between detection modes with predictable timing, minimizing the time loss associated with modulation changes while ensuring both object detection and axial displacement measurement are performed at their optimal intervals
Solution Approach 2:
The control apparatus is pre-configured with the switching schedule between different modulation methods. The first and second modulation periods are established in advance with predetermined durations and switching intervals. This preliminary setup allows the system to execute modulation switches efficiently without real-time decision delays, reducing time loss while maintaining high measurement precision for both object detection and axial displacement angle estimation
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
The system achieves improved estimation accuracy of axial displacement angles by optimizing detection distances and angles, enabling precise alignment of the radar apparatus, thereby enhancing object detection capabilities.
Implementation Method 1
a radar apparatus 2 mounted on a mobile body VH0... transmit and receive first radar waves... transmit and receive second radar waves
Data Source
AI summary
An estimation apparatus extracts first observation point as a first roadside object observation point, where radar waves are reflected at roadside objects in a lateral side of a traveling road where the mobile body travels, the roadside objects being arranged at a position higher than the traveling road along a direction where the traveling road extends. The estimation apparatus extracts a second roadside object observation point as a second observation point corresponding to first roadside object observation point, based on a predetermined association condition. The estimation apparatus calculates direction information indicating a direction along which the roadside object extends, based on a distribution of locations of an extracted plurality of the second roadside object observation points, thereby calculating an angle indicating an inclination of a center axis of the radar apparatus with respect to a longitudinal direction of a mobile body to be an axial displacement angle.