Radar Tracking via Doppler Segmentation and Position Prediction
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Solution Overview
Problem
Conventional radar devices struggle to accurately detect and follow moving objects, particularly when their moving direction becomes perpendicular to the radar axis, leading to erroneous recognition of moving objects as stationary objects, which disrupts continuous tracking.
Innovation Solution
The radar device employs a configuration that includes a radar, movement amount calculator, stationary object Doppler information generator, stationary object cell identification unit, moving object detector, potential moving object detector, target-to-be-followed selector, position calculator, and moving object following processor to differentiate between stationary and moving objects based on Doppler speeds and movement data, ensuring accurate tracking regardless of object direction or position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Doppler speed threshold filtering is used to identify stationary objects, then stationary object detection is improved, but moving objects with perpendicular motion are erroneously classified as stationary
Solution Approach 1:
The patent segments the detection process into two independent pathways: one for stationary objects using Doppler threshold filtering, and another for moving objects using position-based tracking. By dividing the detection logic, the system avoids the pitfall of classifying perpendicular-moving objects as stationary, since each pathway has its own criteria and does not interfere with the other.
Solution Approach 2:
The patent introduces an intermediary position calculation mechanism that acts as a mediator between stationary and moving object detections. By calculating expected positions based on historical data and comparing with current detections, the system can confirm whether a detected object should be tracked, preventing erroneous classification of perpendicular-moving objects while maintaining accurate stationary object detection.
2Quantity of substance
If conventional object removal methods are used to eliminate stationary objects, then clutter reduction is improved, but tracking interruptions occur when objects change direction
Solution Approach 1:
The patent implements dynamic tracking by continuously updating expected positions of moving objects based on their motion history. Instead of static classification, the system adapts to changing object directions by recalculating expected positions in each frame, allowing seamless tracking even when objects change direction from perpendicular to radial motion.
Solution Approach 2:
The system uses feedback mechanisms where detected object positions are fed back to update expected position calculations. This closed-loop approach allows the system to anticipate object positions and confirm detections, preventing tracking interruptions when objects change direction, while still effectively filtering out stationary clutter.
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 configuration enables continuous and accurate tracking of moving objects, improving object detection accuracy by correctly identifying and following objects even when their direction changes relative to the radar axis, preventing interruptions in tracking.
Implementation Method 1
a first group detector which, in operation, groups the one or more information elements into one or more first groups in each frame, the one or more first groups including information on one or more first objects of which Doppler speeds fall within a determined range
Data Source
AI summary
A radar device that detects one or more information elements, groups the one or more information elements into one or more first groups in each frame, the one or more first groups including information on one or more first objects of which Doppler speeds fall within a determined range, groups the one or more information elements into one or more second groups in each frame, the one or more second groups including information on one or more second objects of which Doppler speeds fall outside the determined range calculates first positions in m-th frame, of positions of groups to be followed of the first groups and the second groups in n-th frame and extracts the groups to be followed in the m-th frame from the first groups and the second groups in the m-th frame using the first positions.