Vehicle Radar Speed Filtering for Wheel Doppler Ghosts
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Solution Overview
Problem
Radar systems in autonomous vehicles face challenges in accurately estimating relative speed due to diffuse reflections from rotating wheels, which can generate wheel doppler ghosts, affecting the vehicle's ability to maintain safe distance and control speed effectively.
Innovation Solution
A radar control device and method that utilizes a transceiver, motion information predictor, speed determiner, and motion information processor to generate and process motion information, distinguishing between normal and diffuse reflections using a Kalman filter to determine longitudinal speed and extract ghost information based on specific ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar transmits signals to detect surrounding environment, then detection capability is improved, but wheel doppler ghosts from rotating wheels cause false speed estimation
Solution Approach 1:
The patent converts the harmful wheel doppler ghost signals into useful information by analyzing their characteristic speed patterns. The motion information processor identifies that wheel-related signals exhibit specific speed ranges (typically high speeds corresponding to wheel rotation), and uses this characteristic to distinguish and remove ghost signals from legitimate target detections, thereby improving speed estimation accuracy.
Solution Approach 2:
The patent changes the parameter analysis approach by introducing longitudinal speed information filtering. The motion information processor evaluates whether detected speed values fall within predetermined ranges that correspond to wheel rotation speeds. By applying this parameter-based filtering criterion, the system selectively removes ghost signals while preserving legitimate target detections, resolving the contradiction between detection capability and measurement precision.
2Adaptability or versatility
If radar detects all moving objects, then detection coverage is improved, but difficulty in distinguishing real objects from wheel ghosts increases
Solution Approach 1:
The patent implements a feedback mechanism where the motion information processor continuously monitors detected speed values and compares them against predetermined wheel-speed ranges. When a detected object's speed falls within the wheel ghost range, the system feedbacks a correction to exclude this target from further processing. This feedback loop maintains comprehensive detection coverage while automatically filtering out wheel-related ghosts based on their characteristic speed signatures.
Solution Approach 2:
The patent applies partial filtering action by introducing longitudinal speed range criteria as an additional filtering step. Rather than filtering all detected targets, the system applies selective filtering only to targets whose speed values fall within the predetermined wheel ghost ranges. This partial action approach maintains detection coverage for legitimate targets while removing only the problematic wheel ghost signals.
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 of radar systems by effectively removing scattered reflection signals from rotating wheels, enabling precise speed control and environmental analysis for safe driving.
Implementation Method 1
a radar control device of a vehicle including a transceiver for transmitting a transmission signal and receiving a reception signal
Implementation Method 2
a wheel doppler ghost generated by the rotating wheels of a driving vehicle may provide a negative effect on relative speed estimation
Data Source
AI summary
The present embodiments relate to a radar control device and method and device capable of transmitting a transmission signal and receiving a reception signal, generating one or more motion information by inputting the reception signal as an input value to a motion prediction model, determining each longitudinal speed information using the one or more motion information, and extracting ghost information depending on whether each longitudinal speed information is included in a specific range, thereby improving a speed control capability of a vehicle by eliminating the scattered reflection signals included in the reception signal.


