RF Trigger Detection Using Time-Varying Spectral Matching
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Solution Overview
Problem
Existing methods for detecting trigger events in Radio Frequency (RF) systems, such as fading or interference, are inadequate as they rely on predictable criteria like RF level and frequency, failing to identify changes in modulation type and are technology-specific, with demodulation carrying processing overheads and potential errors.
Innovation Solution
A method and apparatus that generate data from the energy content of input signals over time, comparing it to predetermined spectra to detect changes, using Fourier Transforms and pattern matching, allowing for trigger signal generation without demodulation, making it technology-independent and adaptable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demodulation is used to provide triggers, then trigger events can be detected, but processing overhead and time penalty increase
Solution Approach 1:
The patent extracts only the essential spectral features needed for trigger detection without performing full demodulation. By analyzing frequency content and spectral patterns directly from the RF signal, the system obtains sufficient trigger information while avoiding the time-consuming demodulation process.
Solution Approach 2:
Instead of complete demodulation, the patent applies partial action by performing spectral analysis only on the portions of the signal that contain trigger-relevant information. The Fast Fourier Transform is applied selectively to detect spectral patterns, providing adequate trigger detection with reduced processing effort.
2Measurement precision
If demodulation is used to provide triggers, then trigger events can be detected, but processing overhead increases
Solution Approach 1:
The patent extracts only the essential spectral features needed for trigger detection without performing full demodulation. By analyzing frequency content and spectral patterns directly from the RF signal, the system obtains sufficient trigger information while avoiding the complex demodulation process.
Solution Approach 2:
The patent replaces the mechanical demodulation process with a spectral analysis approach using Fast Fourier Transform. This substitution simplifies the processing by working directly with frequency domain representations of the signal, avoiding the complex time-domain demodulation operations.
3Ease of operation
If RF level and frequency criteria are used for triggering, then some signals can be identified, but modulation type differences cannot be detected
Solution Approach 1:
The patent transitions from analyzing single-dimensional parameters (RF level and frequency) to analyzing the spectral dimension by examining frequency content distribution across multiple frequency bins. This dimensional expansion enables detection of modulation type differences through spectral patterns while maintaining operational simplicity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables early detection of trigger events based on spectral variations, reducing processing overhead and technology specificity, facilitating adaptation to new technologies and providing a general-purpose tool for RF system analysis.
Implementation Method 1
converting a number of the samples of the input signal to the frequency domain. Converting the samples of the input signal to the frequency domain may comprise: performing Fourier Transforms on the number of the samples of the input signal. The Fourier Transform may be a Fast Fourier Transform (FFT).
Data Source
AI summary
A method of detecting a trigger event comprises receiving an input signal for analysis. The received input signal is used to generating first data corresponding to energy of a frequency content of the input signal as the input signal changes with time. At least part of the first data is then compared with second data, the second data corresponding to a predetermined time-varying spectrum indicative of the trigger event. A trigger signal is then generated in response to a change in a state of match between the at least part of first and the second data.