Radar Target Tracking Using Lateral Position Analysis
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Solution Overview
Problem
Existing radar-based vehicle tracking systems cannot accurately distinguish between a stationary object and a vehicle that is temporarily stopped or traveling at low speed, leading to difficulties in determining whether to wait or detour.
Innovation Solution
A method and device that acquire and analyze radar monitoring data to extract lateral position changes, using frequency domain transformation and time domain filtering to determine if a target is a movable vehicle by comparing its lateral position changes with a preset threshold, leveraging the wide lateral distribution of reflection points from radar waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar monitoring data is analyzed using conventional tracking technologies, then the tracking system can monitor targets, but it cannot distinguish between stationary objects and vehicles traveling at low speed or temporarily stopped
Solution Approach 1:
The patent transitions from analyzing only longitudinal position data to incorporating lateral position data as an additional dimension. By examining lateral position changes of reflection points, the system gains a new perspective that enables differentiation between stationary objects and low-speed moving vehicles, resolving the identification ambiguity.
Solution Approach 2:
The patent changes the analytical parameter from solely longitudinal position to include lateral position and its rate of change. By monitoring lateral position changes of multiple reflection points and comparing them against threshold values, the system can accurately classify targets as either stationary or moving, even at low speeds.
2Reliability
If the tracking system uses existing technologies, then it can maintain simple operation, but it fails to identify whether low-speed or stopped vehicles are stationary objects or tracked vehicles
Solution Approach 1:
The patent segments the analysis into distinct components: extracting lateral position data from radar monitoring data, calculating lateral position changes for multiple reflection points, and comparing these changes against predetermined thresholds. This segmented approach maintains operational simplicity while improving identification reliability.
Solution Approach 2:
The patent introduces lateral position change as an intermediary parameter that mediates between raw radar data and target classification. By using this intermediate metric and comparing it against thresholds, the system achieves reliable vehicle identification without requiring complex processing algorithms.
Data Source
AI summary
A method and device for tracking a movable target, relating to the technical field of tracking. In the situation where a tracked movable target travels at a low speed or stops traveling, whether the target is a stationary object or a tracked movable target can still be identified. The method for tracking a movable target comprises: acquiring radar monitoring data of all radar monitoring targets; extracting lateral position data of each radar monitoring target from the radar monitoring data; determining a lateral position change of each radar monitoring target according to the extracted lateral position data; and when the lateral position change of one or more radar monitoring targets from among all the radar monitoring targets is greater than a pre-set threshold value, determining that the one or more radar monitoring targets are tracked movable targets.