Reconfigurable STAP/SFAP Processing for Adaptive Antenna Arrays
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Solution Overview
Problem
Existing signal processing systems, such as those used in communication, surveillance, and navigation, are difficult to modify and adapt to changing environments due to fixed firmware and software configurations, limiting their ability to leverage the advantages of different algorithms and resolution levels.
Innovation Solution
A system architecture that enables dynamic reconfiguration of space time and space frequency adaptive processing (STAP/SFAP) by buffering and converting time domain signals to frequency domain signals, calculating covariance matrices, and generating weights adaptively to control antenna arrays, allowing for real-time algorithm changes based on environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed firmware and software configurations are used in signal processing systems, then system stability and reliability are improved, but adaptability to changing environments deteriorates
Solution Approach 1:
The patent implements dynamic reconfiguration of signal processing algorithms by allowing the system to switch between different processing modes (STAP, SFAP, spatial-only) based on environmental conditions. The receiver can adaptively change its operational characteristics in real-time, transforming from a static fixed-configuration system to a dynamic adaptable system while maintaining reliability through controlled transitions between states
Solution Approach 2:
The system changes operational parameters by adjusting the type and complexity of signal processing algorithms executed. By modifying which algorithms are active (STAP vs. SFAP vs. spatial-only) and their respective resolution levels, the system achieves adaptability without compromising the fundamental reliability of the receiver architecture
2Adaptability or versatility
If multiple algorithms are implemented to handle different environmental conditions, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent creates a universal signal processing framework where a single receiver architecture can execute multiple algorithms (STAP, SFAP, spatial-only processing) through a common processing pipeline. This multi-functional design allows the system to handle different environmental conditions without requiring separate dedicated hardware for each algorithm, thereby improving adaptability while controlling complexity through shared resources
Solution Approach 2:
The signal processing functionality is segmented into distinct algorithmic modules that can be independently selected and executed. By dividing the processing into separate algorithm components (spatial processing, frequency processing, time processing) that can be combined in different ways, the system achieves algorithmic adaptability while managing complexity through modular organization and selective activation
Data Source
AI summary
Techniques for adaptive signal processing. A methodology implementing the techniques according to an example includes converting T blocks of buffered time domain signals received from C channels of an antenna array to T blocks of frequency domain signals, wherein each frequency domain signal comprises N frequency domain bins. The method also includes calculating N covariance matrices based on the T blocks of frequency domain signals for each of the N bins and generating M combined covariance matrices by combining groups of covariance matrices from the N covariance matrices corresponding to a number of adjacent frequency domain bins. The method further includes generating M reduced covariance matrices by extracting a portion from each of the M combined covariance matrices, the portion corresponding to Z of the T blocks. The method further includes calculating weights based on the M reduced covariance matrices to control the antenna array.