RF Source Signature Matching for Fast Trusted Transmitter Detection
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Solution Overview
Problem
Existing methods for identifying trusted RF transmission sources in wireless communications are either delayed due to data demodulation requirements or computationally complex when relying on coherent signal dispersion properties, necessitating a faster and more efficient approach.
Innovation Solution
The method involves receiving a portion of an RF signal pulse, determining amplitude or phase values of electrical signals in phase coherence, generating signatures based on Stokes parameters or Jones vectors, and matching these with stored signatures to quickly identify known transmission sources, even with reduced signal duration and frequency bins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data demodulation is performed to identify transmitter identity, then accurate identification is achieved, but detection time is increased
Solution Approach 1:
The patent extracts and utilizes specific features (coherent signal dispersion properties, amplitude, phase, frequency bin information) from the received signal that directly indicate transmitter identity, rather than performing complete data demodulation. This extraction approach achieves accurate identification while significantly reducing the time required by avoiding full demodulation processing.
Solution Approach 2:
The system performs preliminary analysis of signal properties (amplitude, phase, frequency bins) before complete demodulation would be required. By evaluating these preliminary features and comparing them against stored reference data, the system can identify transmitters faster while maintaining accuracy.
2Measurement precision
If coherent signal dispersion properties are used for identification, then identification capability is improved, but computational complexity increases
Solution Approach 1:
The patent segments the signal analysis into distinct, manageable components: amplitude extraction, phase extraction, frequency bin identification, and coherent signal dispersion calculation. Each component is processed separately using standardized mathematical operations, which reduces overall computational complexity while maintaining identification capability.
Solution Approach 2:
The system transforms the received signal into the frequency domain and analyzes specific parameters (amplitude, phase, frequency bin values) rather than processing the entire signal waveform. This parameter-based approach simplifies computation while preserving the coherent signal dispersion properties needed for identification.
3Measurement precision
If full pulse duration is processed for signature determination, then identification accuracy is maintained, but processing time increases
Solution Approach 1:
The patent applies partial action by determining signal signatures from selected portions of the pulse and using a subset of frequency bins rather than processing the entire pulse duration and full frequency spectrum. This partial processing approach maintains sufficient identification accuracy while significantly improving processing speed and reducing computational load.
Data Source
AI summary
This disclosure provides systems, methods, and apparatus for determining whether an incident radio-frequency (RF) signal is from a known transmission source based on a match between a signature of the incident RF signal and at least one stored signature. One or more antennas can generate a plurality of electrical signals corresponding to a portion of a pulse of the incident RF signal. At least one of amplitude or phase values of a first electrical signal and phase coherent second electrical signal can be determined in the frequency domain. The signature of the incident RF signal based on at least one of amplitude or phase values of the first and the second electrical signals can be determined. This signature can be compared with stored signatures to determine whether the incident RF signal is from a known transmission source.