Radar Control Device Lateral Distance Estimation
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Solution Overview
Problem
Existing radar systems face challenges in accurately estimating the lateral distance between a host vehicle and objects around it, particularly due to inaccurate speed detection by radar sensors.
Innovation Solution
A radar control device and method that utilize a transceiver to transmit and receive signals, a determiner to generate range-Doppler maps through FFT and compare them with preset temporary lateral distances, and an estimator to calculate a correlation coefficient for accurate lateral distance estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar sensor is used to detect objects, then speed detection is performed, but lateral distance estimation accuracy deteriorates due to inaccurate speed detection
Solution Approach 1:
The patent introduces an intermediary processing system that separates lateral distance estimation from speed detection. By using FFT to generate range-Doppler maps and comparing them with preset temporary lateral distances through correlation coefficients, the system mediates between the radar's speed detection and accurate lateral distance measurement, eliminating the direct dependency on speed accuracy
Solution Approach 2:
The patent changes the measurement parameters from speed-based estimation to correlation-based estimation. By transforming the reception signal through FFT and comparing it with preset templates at different lateral distances, the system shifts from using speed as a primary parameter to using correlation coefficients as the basis for lateral distance determination
2Measurement precision
If correlation coefficient method is used for lateral distance estimation, then estimation accuracy is improved, but calculation complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing range-Doppler maps for various temporary lateral distances before actual measurement. During operation, the system only needs to compare the received signal's FFT result with these pre-computed templates, significantly reducing real-time computational complexity while maintaining high estimation accuracy
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 enables accurate estimation of lateral distances, improving radar sensor performance by excluding objects with inaccurate speed detection, thereby enhancing safety and convenience functions in vehicles.
Implementation Method 1
a transceiver configured to transmit a transmission signal to the surroundings of a host vehicle and receive a reception signal received by reflecting the transmission signal on an object
Implementation Method 2
receive a reception signal received by reflecting the transmission signal on an object
Implementation Method 3
generate a first range-Doppler map by performing fast Fourier transform (FFT) on the reception signal
Implementation Method 4
generate a first range-Doppler map by performing fast Fourier transform (FFT) on the reception signal
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 to the surroundings of a host vehicle and receive a reception signal received by reflecting the transmission signal on an object, a determiner configured to generate a first range-Doppler map by performing fast Fourier transform (FFT) on the reception signal and generate a second range-Doppler map based on a comparison group including a plurality of preset temporary lateral distances, and determine a correlation coefficient between the first range-Doppler map and the second range-Doppler map, and an estimator configured to estimate a lateral distance between the host vehicle and the object based on the correlation coefficient.