Lateral Radar Peak Mapping for Stationary Object Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Lateral radar sensors struggle to determine whether objects orthogonal to the vehicle's travel direction are stationary or moving, affecting the accuracy and reliability of radar systems in vehicles.
Innovation Solution
A radar control device and method that generates a peak map with a velocity-distance component or range-Doppler component from reception signals to distinguish between stationary and moving objects by performing Fast Fourier Transform (FFT) on the signals, creating a peak map with a range-Doppler index, and determining object mobility based on this map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a lateral radar sensor is used to detect objects orthogonal to the vehicle's travel direction, then the detection coverage is improved, but the ability to determine whether the object is stationary or moving deteriorates
Solution Approach 1:
The patent applies dimensionality change by transitioning from traditional 2D radar detection (range and azimuth only) to 3D detection incorporating elevation angles. By adding the vertical dimension and analyzing the Doppler component across multiple elevation angles, the system can distinguish stationary objects from moving objects even at orthogonal detection angles where traditional radar fails. This multi-dimensional approach resolves the contradiction by maintaining detection coverage while improving mobility determination accuracy.
2Device complexity
If traditional radar detection methods are used, then the system complexity is low, but the reliability of object classification deteriorates
Solution Approach 1:
The patent changes detection parameters by incorporating elevation angle information and Doppler velocity components into the object classification process. Instead of relying solely on range and azimuth, the system analyzes the Doppler spectrum across multiple elevation angles to determine object mobility. This parameter expansion improves classification reliability while maintaining manageable system complexity through efficient signal processing algorithms.
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
Improves radar performance by accurately distinguishing between stationary and moving objects at orthogonal angles, reducing misrecognition and enhancing the reliability of safety and convenience functions in vehicles.
Implementation Method 1
a transceiver configured to transmit a transmission signal for detecting surroundings of a host vehicle through a radar mounted on the host vehicle and receive a reflected reception signal
Implementation Method 2
a calculator configured to calculate a measurement value reflected from an object by performing Fast Fourier Transform (FFT) on the reception signal and calculate a relative speed with respect to the measurement value
Data Source
AI summary
The embodiments relate to a radar control device and method. Specifically, a radar control device according to the embodiments may include a transceiver configured to transmit a transmission signal for detecting surroundings of a host vehicle through a radar mounted on the host vehicle and receive a reflected reception signal, a calculator configured to calculate a measurement value reflected from an object by performing Fast Fourier Transform (FFT) on the reception signal and calculate a relative speed with respect to the measurement value, and a determiner configured to create, if the relative speed of the measurement value is 0, a peak map having a range-Doppler index from the reception signal, and determine whether the object is a stationary object based on the peak map.