Adaptive SFAP Signal Processing for Dynamic Anti-Jamming
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Solution Overview
Problem
Existing anti-jamming systems are typically custom-designed and lack adaptability to modify their anti-jamming processing levels efficiently and cost-effectively, making them ineffective in varying interference scenarios.
Innovation Solution
A signal processing system that uses a time domain to transform domain transform with N transform domain bins, grouping covariance matrices into groups of M matrices to produce combined spatial covariance matrices and calculate spatial weights for adaptive anti-jamming processing, allowing for real-time adjustment of processing levels based on detected interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If anti-jamming systems are custom-designed for specific performance requirements, then the anti-jamming capability is optimized for that requirement, but the system cannot readily modify its level of anti-jamming processing and requires distinct software and firmware designs for different performance levels
Solution Approach 1:
The patent implements dynamic adaptability by allowing the system to adjust the number of transform domain bins (N) and the group size (M) based on detected interference conditions. The signal processing device can dynamically change processing parameters without requiring distinct software or firmware designs, enabling the same hardware to adapt to varying anti-jamming requirements through configurable processing levels.
2Reliability
If distinct software and firmware designs are created for different performance levels, then each design is optimized for its specific performance level, but the development cost and complexity increase
Solution Approach 1:
The patent creates a universal signal processing platform that can operate at multiple performance levels using the same core software and firmware. By implementing configurable parameters (N transform domain bins, M group size) within a single design, the system achieves multi-functionality where one universal design serves multiple performance requirements, eliminating the need for separate custom designs for different anti-jamming levels.
3Measurement precision
If the number of transform domain bins (N) is increased to improve frequency resolution for interference mitigation, then the interference detection capability is enhanced, but the computational complexity and processing time increase
Solution Approach 1:
The patent segments the N transform domain bins into groups of M adjacent bins, where M < N. This segmentation allows the system to process frequency data in manageable groups rather than handling all N bins individually for spatial covariance calculation. The grouping reduces computational complexity while maintaining the benefit of high frequency resolution for interference detection, as the system can selectively process relevant frequency groups.
Solution Approach 2:
The patent implements partial action by using only M groups of bins (where M < N) for spatial processing instead of utilizing all N transform domain bins. This partial utilization of available frequency data reduces computational burden and processing time while still providing sufficient frequency resolution for effective interference mitigation, trading off some potential resolution for practical processing feasibility.
Data Source
AI summary
Embodiments of the inventive concepts disclosed herein are directed to systems and methods for signal processing. An antenna array can receive signal information. A signal processing device can perform a time-domain-to-transform-domain transform with N transform domain bins, on the signal information. The signal processing device can determine N covariance matrices each corresponding to a respective one of the N transform domain bins. The signal processing device can group covariance matrices from the N covariance matrices into groups of M covariance matrices. Each group can correspond to a respective group of M adjacent bins from the N bins. The signal processing device can produce a combined spatial covariance matrix for each group of M covariance matrices, by performing a weighted combination of covariance matrices within the respective group of M covariance matrices. The signal processing device can calculate spatial weights from each of the spatial covariance matrices, for anti-jamming processing.