FMCW Radar Ghost Target Elimination via Velocity-Shifted Spectrum Correlation
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Solution Overview
Problem
Current vehicle radars using millimeter waves face challenges in accurately sensing road environments, especially in complex scenarios like curved roads, due to the generation of ghost targets and reduced sensing stability, particularly when detecting fixed structures like guide rails and tunnels.
Innovation Solution
A method and device utilizing a frequency-modulated continuous wave (FMCW) radar that performs multiple scans to acquire and shift frequency spectra based on vehicle velocity, calculating correlation information to determine the presence of fixed structures by considering curvature information, thereby enhancing the accuracy of road environment sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If millimeter wave radar is used for vehicle sensing, then the radar can operate easily and cause less errors in various weather conditions, but ghost targets are generated and sensing stability is reduced in complex road environments
Solution Approach 1:
The radar performs multiple scans at different time points to acquire frequency spectra, comparing results across periodic measurements to distinguish fixed structures from moving objects and eliminate ghost targets
Solution Approach 2:
The system uses correlation information between frequency spectra from multiple scans to determine whether detected objects are fixed structures or moving objects, providing feedback to filter out ghost targets and improve sensing reliability
2Measurement precision
If frequency spectrum shifting based on vehicle velocity is performed, then the detection accuracy of fixed structures is improved, but the device complexity increases
Solution Approach 1:
The system changes the frequency spectrum parameters by shifting them based on vehicle velocity information, allowing fixed structures to be distinguished from moving objects through parameter transformation rather than hardware complexity
Solution Approach 2:
The patent replaces complex hardware-based detection with signal processing methods, using mathematical operations on frequency spectra to achieve accurate fixed structure detection without additional mechanical components
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
This approach allows for more accurate detection of road environments and moving objects by distinguishing between fixed and moving targets, improving sensing stability and reducing ghost target issues, even in complex road conditions.
Implementation Method 1
frequency modulated continuous wave (FMCW) radar
Implementation Method 2
acquire a first frequency spectrum of beat signals... acquired based on peak information of the first frequency spectrum
Data Source
AI summary
Disclosed herein are a method and device for sensing a road environment based on a frequency modulated continuous wave (FMCW) radar. A method for detecting a road environment based on the FMCW radar includes the steps of: the FMCW radar performing a first scan to acquire a first frequency spectrum of beat signals, and shifting the first frequency spectrum based on first velocity information of a vehicle on performing the first scan; the FMCW radar performing a second scan to acquire a second frequency spectrum of beat signals, and shifting the second frequency spectrum based on second velocity information of the vehicle on performing the second scan; acquiring correlation information between the shifted first frequency spectrum and the shifted second frequency spectrum; and comparing the correlation information with a set threshold value and detecting the road environment.