FMCW Radar Ghost Target Suppression via Adaptive Frequency Band Selection
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Solution Overview
Problem
FMCW radar systems face challenges in accurately sensing targets in environments with structures like tunnels or guide rails, leading to increased ghost target generation and reduced sensing stability due to clutter and interference signals.
Innovation Solution
The method involves determining a detection frequency band by excluding frequencies after the largest peak value and setting a threshold value based on clutter signals, using a constant false alarm rate (CFAR) algorithm, and limiting the valid frequency range to reduce ghost target generation and enhance sensing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If FMCW radar transmits sensing signal in all frequency bands, then detection coverage is maximized, but ghost target generation increases due to clutter signals
Solution Approach 1:
The frequency spectrum is segmented into multiple frequency bands, with the detection frequency band selectively determined based on the largest peak value. This segmentation allows the radar to focus detection resources on the most relevant frequency range while excluding bands prone to generating ghost targets, thus resolving the contradiction between comprehensive coverage and ghost target suppression.
Solution Approach 2:
The detection frequency band parameter is dynamically adjusted based on the largest peak value in the frequency spectrum. By changing the detection parameters adaptively rather than using a fixed frequency range, the system maintains optimal detection coverage while avoiding frequency bands that would generate ghost targets.
2Measurement precision
If threshold value is set low to detect weak targets, then detection sensitivity improves, but false alarm rate increases due to clutter signals
Solution Approach 1:
The threshold value is dynamically determined based on the clutter signal characteristics and the largest peak value in the frequency spectrum. This adaptive threshold adjustment allows the system to maintain high detection sensitivity for weak targets while automatically compensating for clutter interference, thus reducing false alarms without sacrificing detection capability.
Solution Approach 2:
The system uses feedback from the frequency spectrum analysis to adjust the threshold value. By continuously monitoring the largest peak value and clutter signal levels, the threshold is automatically optimized to maintain the appropriate balance between detection sensitivity and false alarm rate.
3Stability of the object's composition
If detection frequency band is limited to reduce ghost targets, then sensing stability improves, but detection coverage may be reduced
Solution Approach 1:
The detection frequency band parameter is dynamically adjusted based on the largest peak value rather than using a fixed limited range. This allows the system to expand or contract the detection band adaptively, maintaining sensing stability by excluding problematic frequency regions while preserving detection coverage in relevant frequency ranges.
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 reduces the probability of ghost target generation, improves target detection accuracy, and ensures stable sensing performance even in complex environments with structures like tunnels or guide rails.
Implementation Method 1
a radar for a vehicle using a millimeter wave
Implementation Method 2
The FMCW radar transmits a sensing signal for detection of a target object, and receives a response signal in response to the sensing signal
Implementation Method 3
frequency modulated continuous wave (FMCW) radar
Implementation Method 4
generating a frequency spectrum of a beat signal
Data Source
AI summary
Disclosed herein are a method and device for sensing a surrounding environment based on a frequency modulated continuous wave (FMCW) radar. The method for detecting a target based on an FMCW radar includes the steps of: the FMCW radar transmitting a sensing signal for detection of the target, and receiving a response signal in response to the sensing signal; the FMCW radar performing a signal processing on the response signal, and generating a frequency spectrum of a beat signal; the FMCW radar determining a detection frequency band for detection of the target within a valid frequency band of the frequency spectrum; the FMCW radar determining a threshold value to determine a target detection peak value for detection of the target among peak values of the frequency spectrum; and the FMCW radar detecting the target based on the detection frequency band and the threshold value.