Radar Angle Calibration Using Multi-Frame FFT Feedback
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Solution Overview
Problem
Angular accuracy in radar systems is compromised in complex environments like tunnels and guardrails, leading to erroneous object detection by advanced driver assistance systems, which can result in incorrect vehicle control decisions.
Innovation Solution
A radar device and method that calibrate the first angle estimated from a single frame by comparing it with a second angle derived from multiple frames using fast Fourier transform (FFT), enhancing angular accuracy through calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If radar operates with specific periodicity to detect objects, then detection speed and productivity are improved, but angular accuracy deteriorates in complex environments like tunnels and guardrails due to multiple paths and signal overlap
Solution Approach 1:
The system performs preliminary angle calibration by comparing angles from multiple frames before final object detection. The controller stores angle information from multiple frames and calibrates the detection angle by comparing it with calibrated angles from previous frames, preventing angular distortion before it affects detection accuracy.
Solution Approach 2:
The system uses feedback by comparing the detection angle from current frame with calibrated angles from multiple previous frames. The controller determines whether to correct the detection angle based on this comparison, using the historical angle information as feedback to improve measurement precision without sacrificing detection speed.
2Area of stationary object
If radar detects objects in complicated road environments, then coverage area is improved, but angular information becomes distorted due to multiple paths and frequency overlap with other objects
Solution Approach 1:
The system performs preliminary angle calibration by comparing angles from multiple frames before final object detection. The controller stores angle information from multiple frames and calibrates the detection angle by comparing it with calibrated angles from previous frames, preventing angular distortion before it affects detection accuracy.
Solution Approach 2:
The system uses feedback by comparing the detection angle from current frame with calibrated angles from multiple previous frames. The controller determines whether to correct the detection angle based on this comparison, using the historical angle information as feedback to improve measurement precision without sacrificing detection speed.
3Loss of time
If the radar system uses angle estimation from single frame for real-time detection, then response time is improved, but angle accuracy deteriorates leading to erroneous determination by driver assistance system
Solution Approach 1:
The system performs preliminary angle calibration by comparing angles from multiple frames before final object detection. The controller stores angle information from multiple frames and calibrates the detection angle by comparing it with calibrated angles from previous frames, preventing angular distortion before it affects detection accuracy.
Solution Approach 2:
The system uses feedback by comparing the detection angle from current frame with calibrated angles from multiple previous frames. The controller determines whether to correct the detection angle based on this comparison, using the historical angle information as feedback to improve measurement precision without sacrificing detection speed.
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 angular accuracy by comparing angles from single and multiple frames, ensuring accurate object detection and preventing erroneous vehicle control decisions in challenging environments.
Implementation Method 1
controlling to transmit a frequency-modulated transmission signal
Implementation Method 2
receiving a reception signal which is the transmitted transmission signal reflected by an object
Implementation Method 3
estimating a first angle for a position of the object, with respect to a host vehicle, during one frame, based on a result obtained by performing fast Fourier transform (FFT) on the reception signal
Data Source
AI summary
The disclosure relates to a radar device and a control method. Specifically, according to the disclosure, a radar device comprises a transmitter controlling to transmit a frequency-modulated transmission signal, a receiver receiving a reception signal which is the transmitted transmission signal reflected by an object, an angle estimator estimating a first angle for a position of the object, with respect to a host vehicle, during one frame, based on a result obtained by performing fast Fourier transform (FFT) on the reception signal and estimating a second angle which is a virtual angle for the position of the object during a plurality of frames, and a controller calibrating the first angle by comparing the estimated first angle and the estimated second angle.