Radar Pulse Sample Data Matrix Jamming Extraction
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Solution Overview
Problem
Current radar systems are ineffective in mitigating low duty factor electronic attacks, which interfere with radar performance by transmitting jamming signals for less than 10% of the coherent integration time, causing false range targets and impairing detection and tracking capabilities.
Innovation Solution
A method and system that form a Pulse Sample Data Matrix (PSDM) from digitized radar return energy, separate in-phase and quadrature phase measurements, and use a measurement matrix dictionary to compute a 4N×1 vector, extracting jamming data and forming a clean PSDM free from low duty factor electronic attack interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional radar systems process received signals, then detection and tracking capabilities are maintained, but low duty factor jamming signals remain in the data causing false range targets and performance degradation
Solution Approach 1:
The patent extracts and removes low duty factor jamming signals from the radar return data by separating the jamming component from the legitimate target return. The system identifies and extracts the jamming portion of the signal while preserving the legitimate target data, thereby removing the harmful interference while maintaining detection and tracking capabilities.
Solution Approach 2:
The patent changes the duty factor parameter of the jamming signal from low (less than 10%) to high by coherently integrating multiple pulses. This parameter transformation allows the system to detect and mitigate the jamming effect by accumulating energy over multiple pulses, converting the low duty factor interference into a detectable high duty factor signal pattern.
2Object-affected harmful factors
If entire data samples are removed to eliminate jamming, then jamming interference is reduced, but valuable radar return data is also lost reducing detection performance
Solution Approach 1:
Instead of removing entire data samples, the patent extracts only the jamming portion from each pulse return. The system separates the composite signal into legitimate target return and jamming components, removing only the harmful jamming portion while preserving the valuable target information for subsequent processing and detection.
3Measurement precision
If radar systems use coherent integration to improve detection, then target detection sensitivity increases, but low duty factor jamming effects are amplified causing false targets
Solution Approach 1:
The patent converts the harmful low duty factor jamming effect into a beneficial detection opportunity. By coherently integrating pulses and analyzing the duty factor characteristics, the system identifies jamming signals that would otherwise be invisible. The integration process transforms the low-duty-factor interference into a detectable pattern that can be identified and removed, turning the originally harmful effect into a means of jamming detection.
Data Source
AI summary
A method for mitigating low duty factor electronic attack (EA) includes taking M samples of each of N pulses of radar return energy. The method includes forming an M×N pulse sample data matrix (PSDM) using the M samples and N pulses of the radar return energy including in-phase and quadrature phase components of the radar return energy and jamming data from the low duty factor EA. The method includes defining a 2N×1 vector for each row of the PSDM. The method includes computing a 4N×1 vector separating the in-phase and quadrature phase measurements of the jamming data from the low duty factor EA into a respective half of the 4N×1 vector using the 2N×1 vector and a measurement matrix dictionary. The method includes extracting the jamming data from the 4N×1 vector and forming a clean M×N PSDM that is free of the jamming data using the 4N×1 vector.