Radar Velocity Vector Measurement via Geometric Circle Fitting
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Solution Overview
Problem
Traditional radar technologies face challenges in accurately measuring the velocity vector of a target object, particularly in distinguishing between line-of-sight and actual velocity components.
Innovation Solution
A method involving the extraction of velocity vectors from radar data, followed by arranging these vectors to a common reference point, generating an approximation circle or orthogonal line segments, and calculating the target's velocity vector based on these geometric transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar measures velocity through Doppler effect and Fourier transform, then line-of-sight velocity can be obtained, but the actual velocity vector cannot be accurately determined
Solution Approach 1:
The patent segments the target object into multiple detection points and obtains velocity vectors for each point separately. By dividing the target into multiple measurement locations, the system can reconstruct the complete velocity vector through geometric relationships between these segmented measurements, thereby recovering information that would be lost in a single-point measurement.
Solution Approach 2:
The patent transitions from one-dimensional line-of-sight velocity measurement to two-dimensional velocity vector determination by utilizing angular information and geometric relationships. By arranging velocity vectors from multiple points and using circle-fitting or orthogonal line intersection methods, the system adds spatial dimensionality to resolve the complete velocity vector including both radial and tangential components.
2Measurement precision
If velocity vectors from multiple points are used to determine target velocity, then actual velocity can be calculated, but computational complexity increases
Solution Approach 1:
The patent creates simplified geometric representations (circles or orthogonal line segments) that copy the essential spatial relationships of the velocity vectors. Instead of directly processing complex vector data from multiple points, the system transforms the problem into finding intersections of simpler geometric shapes, reducing computational complexity while preserving the information needed to determine the velocity vector.
Solution Approach 2:
The patent changes the representation parameters of velocity vectors from direct coordinate data to geometric features (circle centers, radii, or line intersection points). This parameter transformation simplifies the calculation by converting a complex multi-point vector analysis problem into a simpler geometric construction problem with well-defined solution methods.
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 enables the accurate determination of the target's actual velocity vector, accounting for both line-of-sight and non-line-of-sight components, thereby improving the precision of velocity measurement in radar technology.
Implementation Method 1
a radar may be used to measure a velocity of a target by utilizing the Doppler effect
Implementation Method 2
a radar may measure distance through time delay
Data Source
AI summary
A method of measuring a velocity vector of a target object is provided. The method includes: obtaining pieces of radar data obtained by detecting the target object; based on the pieces of radar data, extracting velocity vectors for respective points that correspond to the detected target object; and calculating the velocity vector of the target object based on the velocity vectors.