Ground-Facing Radar Motion Estimation With Range-Doppler Filtering
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Solution Overview
Problem
Existing vehicle motion estimation and prediction methods are not sufficiently accurate and versatile, leading to inefficiencies and safety concerns in modern vehicle control systems.
Innovation Solution
A computer-implemented method using radar transceivers to emit signals towards the ground surface, process radar backscatter, and apply range-Doppler filters to determine vehicle motion parameters, filtering out clutter and distortion, and enabling robust obstacle detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar signals are used to determine vehicle motion relative to ground surface, then measurement precision is improved, but device complexity increases due to signal processing requirements
Solution Approach 1:
The signal processing is segmented into distinct functional stages: range-Doppler mapping, filtering based on expected appearance patterns, and motion parameter extraction. This segmentation allows each stage to be optimized independently and reduces overall system complexity by breaking down the complex processing task into manageable components.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw radar backscatter into range-Doppler maps, which then serve as input for motion estimation. This intermediary representation simplifies the relationship between raw signals and motion parameters, making the system more manageable and easier to implement.
2Measurement precision
If range-Doppler filtering is applied to remove clutter, then measurement precision is improved, but loss of information may occur from legitimate ground surface variations
Solution Approach 1:
The filtering approach applies different processing characteristics to different regions of the range-Doppler map based on expected ground surface appearance patterns. By identifying which regions correspond to legitimate ground surface reflections versus clutter, the system applies appropriate filtering locally, preserving useful information while removing unwanted signals.
Solution Approach 2:
The system uses feedback from the processed range-Doppler maps to refine the expected appearance patterns and improve filtering performance. By continuously comparing actual measurements with expected patterns and adjusting the filtering parameters accordingly, the system minimizes information loss while maintaining measurement precision.
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
Enhances the accuracy and reliability of vehicle motion estimation, allowing for more efficient and safe motion control by filtering out irrelevant data and improving obstacle detection.
Implementation Method 1
configuring at least one radar transceiver to emit a respective radar signal towards a ground surface supporting the vehicle and receiving radar backscatter from the ground surface
Implementation Method 2
the radar backscatter is indicative of a radial velocity of the ground surface relative to the radar transceiver in dependence of a range from the radar transceiver to the ground surface
Data Source
AI summary
A computer-implemented method for determining a motion parameter of a vehicle includes configuring at least one radar transceiver to emit a respective radar signal towards a ground surface supporting the vehicle, receiving radar backscatter from the ground surface, where the radar backscatter is indicative of a radial velocity of the ground surface relative to the radar transceiver in dependence of a range from the radar transceiver to the ground surface, determining an expected range-Doppler appearance of the radar backscatter from the ground surface, based at least in part on an expected motion of the vehicle relative to the ground surface, obtaining a range-Doppler filter based on the expected range-Doppler appearance of the radar backscatter, processing the received radar backscatter by the range-Doppler filter, and determining the motion parameter of the vehicle based on the processed radar backscatter.