Vehicle Radar Clutter Suppression via Frequency Spectrum Periodicity
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Solution Overview
Problem
Vehicle-mounted radar systems face performance deterioration in detecting target objects due to clutter signals generated by structures like steel tunnels, which can overwhelm the target signal, leading to reduced detection reliability, especially in environments with multiple reflective steel structures.
Innovation Solution
A target object detecting apparatus and method that includes a signal transmitting unit, a signal receiving unit, a signal analyzing unit to calculate frequency spectrum information and extract periodicity information, a determining unit to identify clutter structures, and a target detecting unit that suppresses peak value components in periodicity information to enhance target detection by converting the signal into a different domain, thereby isolating the target signal from clutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar signal is transmitted to detect target objects, then target detection capability is improved, but clutter signal from steel tunnel structures overwhelms target signal, reducing detection reliability
Solution Approach 1:
The patent transforms the radar signal from the time domain to the frequency domain by calculating frequency spectrum information. This dimensional change allows the system to distinguish between target signals and clutter signals based on their different frequency characteristics, thereby resolving the contradiction between detection reliability and clutter interference.
Solution Approach 2:
The patent extracts periodicity information from the frequency spectrum to identify and isolate clutter signals generated by steel tunnel structures. By separating the periodic components corresponding to clutter from the aperiodic target signal components, the system eliminates harmful clutter interference while preserving target detection capability.
2Measurement precision
If signal processing is performed to remove clutter, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the signal processing into distinct functional stages: transmitting radar signals, receiving reflected signals, calculating frequency spectrum information, extracting periodicity information, determining clutter structure existence, and suppressing peak value components. This segmentation allows each stage to be optimized independently and simplifies the overall processing architecture while maintaining high detection accuracy.
Solution Approach 2:
The patent introduces frequency spectrum information as an intermediary representation between the raw radar signal and the final target detection. This intermediary domain facilitates easier separation of target and clutter signals through periodicity analysis, reducing the complexity of direct signal processing while improving detection 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 effectively suppresses clutter signals, improving the detection of target objects by converting the periodicity information to frequency spectrum, making it easier to identify and separate target signals from clutter, thereby enhancing radar performance in environments with significant reflective structures.
Implementation Method 1
a signal transmitting unit configured to transmit a transmission signal for detecting a target object; a signal receiving unit configured to receive a reception signal generated by a reflection of the transmission signal
Data Source
AI summary
The present disclosure relates to a method and apparatus for detecting a target object by a radar device for a vehicle. The method includes recognizing the situation that causes the deterioration in the function of a radar, and preventing the performance from deterioration through a signal processing technology. The apparatus includes: a signal transmitting unit that transmits a transmission signal for detecting a target object; a signal receiving unit that receives a reception signal generated by a reflection of the transmission signal; a signal analyzing unit that calculates frequency spectrum information of the reception signal, and extracts periodicity information for determining a periodicity of the frequency spectrum information; a determining unit that determines whether a clutter structure exists; and a target detecting unit that detects a target object by deleting a peak value component of the periodicity information when it is determined that the clutter structure exists.