Radar Movement Compensation via Velocity Candidate Imaging
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Solution Overview
Problem
Radar systems face challenges in generating clear images of moving objects due to image capture blurring, especially in configurations where antenna placement makes velocity estimation based on the Doppler effect difficult, such as in body scanners with gate-form setups, leading to degraded inspection precision.
Innovation Solution
A radar apparatus and method that includes a radar signal transmission-reception unit, a velocity candidate control unit, a velocity estimation imaging unit, and an output image imaging unit, which acquire and process radar signals to estimate and compensate for object movement using multiple velocity candidates, selecting the most accurate velocity for generating a clear, movement-compensated radar image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging is performed without movement compensation, then the system is simple and fast, but image capture blurring occurs and inspection precision is degraded
Solution Approach 1:
The system performs preliminary velocity estimation using the Doppler effect before imaging to obtain movement information. This preliminary action enables subsequent movement compensation during imaging, preventing blurring while maintaining system efficiency. The velocity estimation is conducted in advance so that the imaging process can use this information for accurate movement compensation.
Solution Approach 2:
The system uses the velocity information obtained from Doppler effect measurement as feedback to adjust the imaging process. The estimated velocity is fed back to the imaging unit to compensate for movement, creating a closed-loop system that maintains image quality despite object motion. This feedback mechanism enables precise inspection while managing system complexity through intelligent control.
2Measurement precision
If velocity estimation based on Doppler effect is used, then movement information can be acquired, but the method is difficult to apply in gate-form antenna configurations
Solution Approach 1:
The system changes the approach to velocity estimation by using the Doppler effect in a way that is independent of specific antenna geometric configurations. Instead of relying on fixed spatial relationships between antennas, the system uses temporal frequency shifts in the radar signal to extract velocity information. This parameter-based approach makes the velocity estimation robust across different antenna arrangements including gate-form configurations.
3Measurement precision
If movement compensation is applied, then image blurring is suppressed, but processing time increases
Solution Approach 1:
The system performs velocity estimation in advance before the actual imaging process. By obtaining movement information preliminarily through Doppler effect measurement, the imaging unit can directly apply movement compensation during image capture without requiring time-consuming iterative processing. This preliminary action reduces the processing time needed for movement compensation while maintaining high image quality.
Solution Approach 2:
The system replaces complex mechanical or iterative image sharpening methods with a direct movement compensation approach based on Doppler velocity information. Instead of using computationally intensive post-processing techniques to correct blurring, the system uses physics-based Doppler measurement to directly guide the imaging process, substituting complex mechanical correction with elegant physical principle utilization.
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 effective movement estimation and image compensation in challenging antenna configurations, suppressing image blurring and improving inspection precision by generating high-quality radar images even when objects are in motion.
Implementation Method 1
a transmission antenna (Tx) 101 projects an electromagnetic wave such as a millimeter wave onto a target object... a reception antenna (Rx) 102 receives the electromagnetic wave reflected by the target object
Implementation Method 2
a velocity estimation unit 106 that estimates a velocity of the target object, based on the radar signal
Data Source
AI summary
Provided is a method for movement estimation and movement compensation of a target object that can be applied without introducing restrictions on antenna placement. The present invention provides a radar apparatus including: a radar signal transmission-reception unit acquiring a radar signal acquired by measurement using a transmission antenna and a reception antenna, and a measurement time of the radar signal; a velocity candidate control unit holding a setting of a velocity candidate set of a target object; a velocity estimation imaging unit generating a radar image applied with movement compensation by using each velocity candidate; a velocity estimation unit selecting an estimated velocity from a velocity candidate set, based on comparison of each generated radar image; and an output image imaging unit generating a final output image applied with movement compensation using an estimated velocity.