Radar Phase Noise Filtering for Long-Range Object Detection
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Solution Overview
Problem
Existing advanced driver-assistance systems (ADAS) face challenges in accurately processing radar data, particularly in distinguishing between normal signals and noise, especially when dealing with targets having low radar cross-sections or those located far away from the radar sensor.
Innovation Solution
The proposed solution involves a processor-implemented method that calculates phase information from radar signals and determines noise representative information. This information is then used to accurately detect and track objects, even those with weak signal strengths, by differentiating between normal signals and noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If radar sensors are used to detect objects at greater distances or with low radar cross-sections, then the detection range is improved, but the signal strength decreases and noise interference increases
Solution Approach 1:
The patent segments the radar signal processing into multiple independent components: phase information extraction, noise representative information calculation, and object detection. By dividing the processing pipeline, each component can be optimized independently to handle weak signals from distant targets while maintaining overall system performance.
Solution Approach 2:
The patent introduces phase information as an intermediary parameter between the raw radar signal and the final object detection. This intermediate representation preserves signal characteristics while filtering out noise, enabling more accurate detection of distant or low-reflectivity targets.
2Measurement precision
If traditional radar signal processing methods are used, then the system complexity is low, but the ability to distinguish normal signals from noise deteriorates
Solution Approach 1:
The patent performs preliminary extraction of phase information from radar signals before main object detection. This preliminary processing step prepares the data in advance, making the subsequent noise differentiation and object detection more accurate without requiring complex real-time processing during the main detection phase.
Solution Approach 2:
The patent calculates noise representative information based on phase information and uses this feedback to improve signal differentiation. The noise characteristics derived from phase data are fed back into the detection process to enhance the distinction between valid signals and noise, improving overall measurement precision.
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
The method effectively enhances the accuracy of object detection and tracking in ADAS systems, improving their ability to handle targets with low radar cross-sections and those at greater distances, thereby enhancing overall driving safety and convenience.
Implementation Method 1
a radar sensor 210 transmits and receives electromagnetic waves
Implementation Method 2
a radar sensor 210 transmits and receives electromagnetic waves
Data Source
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AI summary
A radar data processing method and apparatus. The radar data processing apparatus calculates phase information of a radar signal received by a radar sensor, calculates noise representative information from the calculated phase information, and determines driving-related information based on the noise representative information and radar data calculated from the radar signal.