Frequency-Domain Aerothermal Radiation Correction for Supersonic Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for correcting aerothermal radiation in supersonic aircraft imaging systems are inefficient due to complex computations and lack of real-time processing capabilities, leading to deteriorated image quality and reduced signal-to-noise ratios.
Innovation Solution
A frequency-domain method that analyzes spectral distribution of thermal noise to establish a filter, filtering out noise components from degraded images using Fourier transforms and inverse Fourier transforms, significantly improving image quality and reducing computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex matrix computations and iterative computations are used for aerothermal radiation correction, then correction accuracy is improved, but computation time increases and real-time processing capability deteriorates
Solution Approach 1:
The patent replaces complex time-domain matrix computations and iterative computations with frequency-domain spectral analysis. By transforming the correction problem into the frequency domain using Fast Fourier Transform (FFT), the method substitutes heavy mechanical computation with more efficient spectral operations, achieving both high correction accuracy and real-time processing capability.
Solution Approach 2:
The patent changes the domain parameter from time domain to frequency domain. By representing the aerothermal radiation correction problem in the frequency domain, the method transforms complex temporal computations into simpler spectral operations, significantly reducing computation time while maintaining correction accuracy.
2Reliability
If traditional correction methods are used, then aerothermal radiation effect can be addressed, but device complexity and computational burden increase
Solution Approach 1:
The patent replaces complex computational algorithms with a streamlined frequency-domain approach. By using spectral analysis and FFT-based methods, the system achieves reliable aerothermal radiation correction with significantly reduced computational complexity, making the correction system more practical for real-time applications.
3Manufacturing precision
If real-time processing is implemented, then image quality improvement is achieved, but computational resources and processing speed requirements increase
Solution Approach 1:
The patent changes the processing domain from time to frequency, enabling real-time image quality improvement with reduced computational power requirements. The frequency-domain approach allows parallel processing of spectral components, significantly lowering the computational burden compared to traditional time-domain 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 method enhances image quality and signal-to-noise ratios while providing high-level real-time performance by filtering out aerothermal radiation noise, reducing time consumption and computational burden on processors.
Implementation Method 1
obtaining a spectrum of the aerothermal-radiation noise in the Fourier-transform chip by performing Fourier transform to the Gaussian curved-surface b
Implementation Method 2
obtaining image data for the aerothermal-radiation corrected image in the Fourier-transform chip by performing inverse Fourier transform to the centralized filtered spectrum of the real-time image
Data Source
AI summary
An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.