SAR Jamming Signal Generation via Reflectivity Map FFT
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Solution Overview
Problem
Existing synthetic aperture radar (SAR) jamming methods, such as noise jamming and deceptive jamming, face challenges in efficiently generating noise patches in arbitrary forms within SAR images, requiring high transmission power and complex computations for precise targeting.
Innovation Solution
A jamming signal generation method that involves receiving SAR transmission signals, calculating parameters like the angle of arrival, determining the form and position of a noise patch in a predefined coordinate system, transforming it into an SAR image formation plane coordinate system, generating reflectivity map models through FFT, and producing an SAR jamming signal for transmitting back to the target area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise jamming is used to obscure the main target by transmitting broadband random noise, then the target obscuration effect is improved, but the transmission power requirement increases
Solution Approach 1:
The patent applies local quality by generating noise patches only in specific arbitrary regions of the SAR image rather than uniformly across the entire image. The reflectivity map model concentrates noise energy into predetermined local areas, achieving effective target obscuration in those regions while significantly reducing the overall transmission power required compared to broadband random noise jamming that covers the entire field of view.
2Power
If deceptive jamming is used to generate false targets with intact SAR transmission waveform, then the transmission power requirement is reduced, but the computational complexity increases for precise focusing
Solution Approach 1:
The patent applies preliminary action by pre-defining the form and position of noise patches in arbitrary regions before generating the jamming signal. The reflectivity map model is constructed in advance with predetermined noise characteristics and spatial distribution, allowing the system to avoid complex real-time computations for target positioning and focusing while maintaining precise noise placement in the SAR image domain.
3Adaptability or versatility
If multiple or consecutive false targets are generated in deceptive jamming, then the jamming coverage is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by dividing the jamming task into multiple independent noise patch generations within a single SAR image. Instead of generating multiple consecutive false targets requiring sequential processing, the system creates multiple discrete noise patches simultaneously in different arbitrary regions of the same image, achieving comprehensive jamming coverage while reducing computational complexity through parallel processing of independent noise regions.
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 effectively generates noise patches in arbitrary forms within SAR images using lower power transmission and reduces computational complexity, enabling selective targeting and improved jamming efficiency compared to traditional methods.
Implementation Method 1
generating a second reflectivity map model of a frequency domain by performing two-dimensional (2D) fast Fourier transformation (FFT) on the first reflectivity map model
Implementation Method 2
performing inverse FFT (IFFT) on the SAR jamming signal and transmitting the SAR jamming signal to the target area to generate the noise patch in the SAR image
Data Source
AI summary
Provided are a jamming signal generation method and system. The method includes receiving a synthetic aperture radar (SAR) transmission signal by an SAR, determining a first form and position of a noise patch in a predefined coordinate system, transforming the predefined coordinate system into an SAR image formation plane (IFP) coordinate system, based on a coordinate system transformation function, determining a second form and position transformed from the first form and position of the noise patch in an SAR image using the SAR IFP coordinate system, generating a first reflectivity map model, based on the second form and position of the noise patch, generating a second reflectivity map model by performing two-dimensional fast Fourier transformation on the first reflectivity map model, and generating an SAR jamming signal based on a convolutional product of the second reflectivity map model and a reference signal.