Moving-Object Imaging Using Velocity-Tracked Scattering Fields
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Solution Overview
Problem
Existing imaging technologies face challenges in accurately imaging a moving object in a measurement area using scattered wave data, as the position of the object becomes uncertain, making it difficult to achieve high accuracy.
Innovation Solution
An imaging device with a plurality of transmitters and receivers that derive a scattering field function and imaging function using measurement data and a velocity vector, allowing for high-accuracy imaging by fixing the object's position in a coordinate system determined by the velocity vector, even with a small number of transmitters and receivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the object moves in the measurement area, then the imaging coverage is expanded, but the position uncertainty increases making high accuracy imaging difficult
Solution Approach 1:
The patent applies dynamics by transforming from a stationary coordinate system to a moving coordinate system that tracks the object's position. The coordinate system is dynamically updated based on the object's velocity vector, allowing the imaging system to maintain high accuracy despite the object's motion. This resolves the contradiction by making the measurement framework adaptive to the object's movement rather than requiring the object to remain stationary.
Solution Approach 2:
The patent changes the parameter of the coordinate system from fixed to moving, defined by the object's velocity vector. By parameterizing the coordinate transformation with the velocity vector components (vx, vy), the system can accurately track and image moving objects. This parameter change allows the system to maintain position accuracy while accommodating object movement within the measurement area.
2Device complexity
If the coordinate system is fixed, then the imaging process is simple, but the object's position becomes uncertain when the object moves
Solution Approach 1:
The patent transforms the static coordinate system into a dynamic one that moves with the object. The coordinate transformation includes time-dependent terms based on the velocity vector, allowing the system to track the object's position accurately over time. This dynamic approach resolves the contradiction by introducing controlled complexity in the coordinate system to maintain measurement precision for moving objects.
Solution Approach 2:
The patent introduces a moving coordinate system as an intermediary between the fixed measurement system and the moving object. This intermediary coordinate system, defined by the velocity vector, serves as a bridge that translates the object's motion into a manageable coordinate transformation, thereby maintaining position determination accuracy without requiring the entire measurement system to be complex.
3Measurement precision
If multiple transmitters and receivers are used, then the imaging accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The patent uses a moving coordinate system that tracks the object's position and velocity, which allows the imaging system to achieve high accuracy with fewer transmitters and receivers. The dynamic coordinate transformation compensates for the limited number of measurement points by intelligently interpreting the scattered wave data in the context of the object's motion, thereby reducing the hardware complexity while maintaining imaging accuracy.
Solution Approach 2:
The patent replaces the mechanical approach of using multiple fixed transmitters and receivers with a computational approach using a moving coordinate system. Instead of physically deploying more measurement devices, the system uses computational coordinate transformations based on the object's velocity vector to achieve the same imaging accuracy, thereby reducing device complexity and cost.
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
Enables high-accuracy imaging of moving objects by stabilizing the object's position, obtaining sufficient information without moving the transmitters and receivers, and efficiently imaging distant objects.
Implementation Method 1
a plurality of transmitters that each transmit a wave to a measurement area; a plurality of receivers that each receive a scattered wave of the wave from the measurement area
Data Source
AI summary
An imaging device includes: a plurality of transmitters that each transmit a wave to a measurement area; a plurality of receivers that each receive a scattered wave of the wave from the measurement area; and an information processing circuit that images an object in the measurement area using measurement data of the scattered wave. The information processing circuit: derives a scattering field function using the measurement data and a velocity vector of the object; derives an imaging function that is defined using an amount output from the scattering field function in response to inputting an imaging target position into the scattering field function; and images the object in the measurement area using the imaging function. The information processing circuit derives the scattering field function from the measurement data using a coordinate system in which the position of the object is fixed.