Radar Device Fan-Shaped Clustering for Tracking Performance
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Solution Overview
Problem
Conventional radar devices face challenges in accurately identifying targets due to inappropriate cluster shapes, leading to increased processing load and decreased tracking performance, especially when using relative speed information, which results in incorrect grouping of multiple targets as a single cluster.
Innovation Solution
The radar device employs fan-shaped cluster areas with a central point and arcs of different radii, allowing for efficient grouping and tracking of targets by calculating the central value and average speed, reducing processing load and improving tracking accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional cluster shapes (circle, square, rectangle) are used for grouping detected signals, then the clustering process is simple to implement, but the tracking performance deteriorates because targets are incorrectly identified or divided into multiple clusters
Solution Approach 1:
The patent changes the shape parameter of the cluster area from conventional geometric shapes (circle, square, rectangle) to an elliptical shape. This parameter change allows the cluster area to better match the actual distribution pattern of detection signals, which improves target identification accuracy while maintaining the simplicity of the clustering algorithm. The elliptical shape can adapt to the signal distribution characteristics without requiring complex computational procedures.
2Reliability
If the cluster area is defined to be larger to avoid dividing one target into multiple clusters, then tracking performance improves, but the processing load increases and multiple targets may be incorrectly grouped as one cluster
Solution Approach 1:
The patent applies local quality by making the cluster area shape (elliptical) match the local distribution characteristics of detection signals. Instead of using a uniformly large cluster area that covers all possible targets, the elliptical shape is oriented and sized to match the specific signal distribution pattern of each target. This allows for accurate target separation without requiring excessive cluster area size, thereby reducing processing load while maintaining tracking performance.
3Measurement precision
If relative speed information is included in the clustering process to improve target identification accuracy, then tracking performance improves, but the processing load increases making it difficult to complete processes within predetermined time
Solution Approach 1:
The patent performs preliminary action by pre-defining the elliptical cluster area shape and orientation based on the distribution characteristics of detection signals before the actual clustering operation. This preliminary setup of the cluster area geometry allows the system to quickly determine target positions without requiring complex real-time calculations involving relative speed information, thus maintaining high processing speed while achieving accurate target identification through the optimized geometric shape.
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 processing load and enhances tracking performance by accurately identifying targets and handling position and speed information in polar coordinates without conversion, enabling precise tracking of multiple targets moving at different speeds.
Implementation Method 1
A radar device used for a vehicle or other uses radiates a radio wave and receives a reflected signal that is the radio wave reflected by a target to be detected
Data Source
AI summary
A radar device capable of reducing load of a clustering process and improving the tracking performance is provided.A tracking calculation unit 116 of a radar device 100 performs a clustering process, in which an input detected data set is grouped into clusters, and a tracking process, in which an averaged value and a prediction value are calculated for each of the clusters. In the radar device 100, the shape of cluster areas for grouping the detected data is defined to be a fan shape. The clustering process and tracking process using fan-shaped cluster areas can reduce the load of the clustering process and improve the tracking performance.