Harmonic Phase Comparison for Source Emission Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Detecting and identifying electronic devices in noisy electromagnetic environments is challenging due to interference and the difficulty in distinguishing between similar devices, leading to high false alarm rates and inaccurate geo-location.
Innovation Solution
A signal processing method that analyzes the frequency and phase relationships of received electromagnetic emissions using a Fourier series model to verify the association of emissions with a specific source, reducing false alarms by comparing measured phase and frequency data with theoretically derived expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional electromagnetic emission detection is used to identify electronic devices, then device detection capability is provided, but false alarm rate increases due to noisy electromagnetic background and difficulty in distinguishing between similar devices
Solution Approach 1:
The patent segments the electromagnetic spectrum into multiple frequency bins and analyzes emissions at different harmonic frequencies separately. By dividing the detection task across multiple frequency components rather than treating the spectrum as a whole, the system can identify devices through their unique harmonic phase relationships while filtering out random noise that doesn't exhibit consistent phase patterns across frequencies.
Solution Approach 2:
The patent implements a verification mechanism where detected emissions are tested against theoretically derived closed-form expressions for phase and frequency distribution. This feedback loop compares measured emissions with expected patterns from known device models, confirming whether detected signals truly originate from target devices rather than interfering sources, thereby reducing false alarms.
2Adaptability or versatility
If multiple devices are present in the electromagnetic environment, then detection coverage is improved, but the ability to distinguish between similar devices and perform accurate geo-location deteriorates
Solution Approach 1:
The patent adds the phase dimension to frequency-based detection by analyzing the phase relationships between harmonic emissions. This additional dimensional information creates a unique phase signature for each device even when multiple similar devices operate at the same location. The phase relationships serve as an identifying characteristic that allows the system to distinguish between devices and perform accurate geo-location despite the presence of multiple similar electronic devices.
Data Source
AI summary
The present invention is a signal processing method to significantly improve the detection and identification of source emissions. More particularly, the present invention offers a processing method to reduce the false alarm rate of systems which remotely detect and identify the presence of electronic devices through an analysis of a received spectrum the devices' unintended emissions. The invention identifies candidate emission elements and determines their validity based on a frequency and phase association with other emissions present in the received spectrum. The invention compares the measured phase and frequency data of the emissions with a software solution of the theoretically or empirically derived closed-form expression which governs the phase and frequency distribution of the emissions within the source. Verification of this relationship serves to dramatically increase the confidence of the detection.