Adaptive Radar Frame Filtering for Static Objects on Oscillatory Mounts
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Solution Overview
Problem
Radar devices mounted on non-rigid supports experience oscillatory movements, causing static objects to appear as moving in radar frames, making it difficult to filter out static data effectively.
Innovation Solution
Adaptive filtering method that determines the radial relative velocity and sets an interval based on maximum signal strength to distinguish static objects by using motion vectors and direction vectors, filtering out representations of objects within this interval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the radar device is mounted on a non-rigid support, then the radar device can be installed in locations with flexible mounting options, but the radar device experiences oscillatory movements causing static objects to appear as moving in radar frames
Solution Approach 1:
The patent applies dynamics by making the filtering threshold adaptive rather than fixed. The system dynamically adjusts the velocity threshold based on the radar device's current oscillatory state, allowing the filtering to adapt to changing mounting conditions and maintain reliable static object identification despite non-rigid support movements.
Solution Approach 2:
The patent implements feedback by continuously monitoring the radar device's motion and using this information to adjust the filtering threshold. The system feeds back the detected oscillatory movements to modify the velocity threshold, ensuring that static objects are correctly identified even as the mounting conditions change over time.
2Productivity
If a fixed velocity threshold is used for filtering static objects, then the filtering process is simple and fast, but slowly moving objects may be incorrectly filtered out when the radar device is stationary
Solution Approach 1:
The patent applies parameter changes by making the velocity threshold a variable parameter that adapts to the radar device's operational state. Instead of using a fixed threshold, the system changes the threshold parameter based on detected oscillatory movements, ensuring accurate distinction between truly moving objects and static objects affected by radar motion.
Solution Approach 2:
The patent makes the filtering threshold dynamic rather than static. The threshold automatically adjusts its value based on the radar device's current motion characteristics, allowing the system to maintain both speed and accuracy in object detection across varying operational conditions.
3Reliability
If the velocity threshold is increased to accommodate radar device oscillation, then more static objects can be identified, but faster moving objects may be incorrectly filtered out
Solution Approach 1:
The patent uses feedback from the radar device's motion detection to dynamically adjust the velocity threshold. This feedback mechanism allows the system to distinguish between velocity changes caused by radar oscillation and those caused by actual object motion, reducing false positives while maintaining reliable static object identification.
Solution Approach 2:
The system dynamically adapts the velocity threshold based on real-time detection of radar device oscillation. This dynamic adjustment ensures that the threshold is high enough to capture static objects affected by minor oscillations but not so high as to incorrectly filter out genuinely moving objects.
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
Effectively identifies and filters out static objects from radar frames, even when the radar device is mounted on non-rigid supports, reducing false positives and enhancing robustness against noise and errors.
Implementation Method 1
a radar device (300) having a processing unit (312) configured to execute a method according to any of claims 1-5
Implementation Method 2
a radial relative velocity between the object and the radar device is determined based on the obtained motion vector and the determined direction vector
Data Source
AI summary
A system adaptively filters out a representation of an object from a radar frame captured by a radar device, where a maximum signal strength at zero velocity is obtained in a range bin comprising a detection of the object in range Doppler representations of a set of radar frames captured during a time period before the radar frame. A motion vector is obtained representing a determined magnitude and direction of motion of the radar device at the time when the radar frame was captured. The motion of the radar device is due to an oscillatory movement of the radar device. A range Doppler representation of the radar frame is produced and a direction vector representing a direction from the radar device to the object is determined. A radial relative velocity between the object and the radar device is determined based on the obtained motion vector and the determined direction vector.