Radar Apparatus Dynamic Local Resolution Scanning
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Solution Overview
Problem
Current radar systems lack the ability to dynamically adjust local resolution based on the velocity and distance information of front objects, which can lead to inefficient scanning and increased computational load when monitoring multiple objects with varying velocities and distances.
Innovation Solution
A radar apparatus and method that utilize a processor to control the scanning resolution based on relative velocity and distance information, adjusting the resolution of scanning regions dynamically to prioritize higher resolution for objects with higher relative velocities and closer distances, thereby optimizing scanning efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the radar apparatus scans all front regions at high resolution, then the detection accuracy is improved, but the computational load and scanning time increase significantly
Solution Approach 1:
The patent applies local quality by differentiating scanning resolution across different spatial regions. High-resolution scanning is applied specifically to regions containing objects with high collision probability (based on velocity and distance criteria), while low-resolution scanning is used for other regions. This resolves the contradiction by maintaining high detection accuracy where needed while improving overall scanning efficiency through selective resolution allocation.
Solution Approach 2:
The patent implements dynamic resolution adjustment based on real-time object characteristics. The scanning resolution is not fixed but dynamically adapted according to the velocity and distance of detected objects. Objects with higher relative velocities and closer distances trigger higher resolution scanning in their respective regions, while other regions maintain lower resolution. This dynamic approach optimizes the balance between detection accuracy and scanning efficiency.
2Measurement precision
If the radar apparatus increases the number of measurements per hour, then the detection accuracy is improved, but the energy consumption and processing complexity increase
Solution Approach 1:
The patent reduces processing complexity by applying high measurement density only to specific local regions where objects with high collision probability are detected. Instead of uniformly increasing measurements across all regions, the system selectively concentrates measurements in relevant areas, thereby maintaining detection accuracy while significantly reducing overall processing complexity and energy consumption.
Solution Approach 2:
The patent applies partial action by performing high-resolution scanning only on portions of the field of view that contain critical objects, rather than uniformly scanning the entire area. This selective approach ensures sufficient detection accuracy for high-risk objects while avoiding the excessive processing burden of full-area high-resolution scanning.
3Device complexity
If the radar apparatus uses uniform scanning resolution, then the system complexity is reduced, but the detection efficiency for varying velocity objects decreases
Solution Approach 1:
The patent introduces dynamic resolution adjustment that adapts to the velocity characteristics of detected objects. The scanning resolution becomes a dynamic parameter that changes based on object velocity and distance, allowing the system to efficiently track high-velocity objects with higher resolution while maintaining lower resolution for stationary or slow-moving objects. This dynamic approach significantly improves detection efficiency without requiring a fundamentally more complex system architecture.
Solution Approach 2:
The patent changes the scanning resolution parameter based on object velocity and distance characteristics. By making resolution a variable parameter rather than a fixed value, the system can optimize detection efficiency for different object types. High-velocity, close-distance objects trigger higher resolution scanning parameters, while other objects use lower resolution, thereby improving overall detection efficiency with minimal increase in system complexity.
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 allows for efficient scanning of front regions by allocating higher resolution to objects with higher collision probabilities and lower resolution to those with lower probabilities, reducing the overall computational load and improving detection accuracy without increasing the number of measurements per hour.
Implementation Method 1
a transmitter configured to transmit electromagnetic waves; a receiver configured to receive the electromagnetic waves that are reflected
Implementation Method 2
receive the electromagnetic waves that are reflected
Implementation Method 3
extract a relative velocity, with respect to the radar apparatus, of at least one front object based on the electromagnetic waves received by the receiver
Data Source
AI summary
A radar apparatus includes a transmitter configured to transmit electromagnetic waves; a receiver configured to receive electromagnetic waves that are reflected; and a processor configured to extract a relative velocity, with respect to the radar apparatus, of at least one front object based on the electromagnetic waves received by the receiver, wherein the processor is further configured to locally adjust respective resolutions of scanning front regions based on the relative velocity of the at least one front object.