Radar Imaging Aperture Weighting for Faster High-Fidelity Reconstruction
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Solution Overview
Problem
Existing radar imaging systems for detecting concealed weapons are computationally intensive and may result in non-ideal artifacts, requiring faster reconstruction speeds that compromise image fidelity.
Innovation Solution
The system employs a multistatic scanning approach with sparse antenna arrays and backprojection focusing techniques to efficiently generate high-resolution radar images, using frequency modulated continuous wave (FMCW) transceivers and switched array modules to reduce computational burden and improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional radar image reconstruction methods are used, then image fidelity is maintained, but computational complexity increases and processing speed decreases
Solution Approach 1:
The patent divides the image reconstruction process into multiple stages with different resolution levels. Coarse reconstruction is performed first using simplified algorithms, followed by progressive refinement at higher resolutions. This segmentation allows the system to achieve high image fidelity while reducing overall computational complexity by avoiding full-resolution processing throughout all reconstruction stages.
2Productivity
If faster reconstruction methods are used, then processing speed increases, but image quality deteriorates with non-ideal artifacts
Solution Approach 1:
The patent applies preliminary focusing and reconstruction at reduced resolution before performing final high-resolution reconstruction. This preliminary action pre-processes the data in a computationally efficient manner, removing gross artifacts and preparing the data for subsequent refinement. The multi-stage approach ensures that fast processing does not compromise final image quality, as the preliminary stage prepares data that can be efficiently refined without introducing non-ideal artifacts.
3Measurement precision
If high-resolution focusing is performed, then detection accuracy improves, but latency increases
Solution Approach 1:
The patent implements a dynamic, adaptive reconstruction strategy where the resolution level and processing intensity are adjusted based on operational requirements. For time-critical applications, the system can operate at lower resolutions with reduced latency. When detection accuracy is paramount, the system dynamically transitions to higher resolution processing. This dynamic approach allows the system to optimize the trade-off between detection accuracy and latency in real-time based on operational context.
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 method achieves increased computational efficiency and improved image fidelity with reduced latency, enabling real-time detection of concealed objects without mechanical scanning or motion tracking.
Implementation Method 1
Each antenna array includes a plurality of transmit antennas configured to emit electromagnetic energy towards the target imaging volume and a plurality of receive antennas configured to receive reflections of the electromagnetic energy
Data Source
AI summary
Imaging systems and associated methods are described. According to one aspect, an imaging system includes processing circuitry configured to: access radar data for a plurality of sampling points at a plurality of different locations of an imaging aperture, and wherein the radar data results from the transmission and reception of electromagnetic energy via an antenna array with respect to a target imaging volume; access a plurality of different weightings that correspond to different ones of the sampling points of the imaging aperture; focus the radar data of the sampling points to generate an image of the target imaging volume; and wherein the processing circuitry is configured to use the different weightings of the sampling points to focus the radar data of respective ones of the sampling points.