Abstract
The University of Central Florida invention offers a nonlinear dynamics-based methodology to reliably detect very weak signals buried in noisy environments. Noise can degrade the quality of a signal (electrical, acoustic, optical or mechanical) and reduce the reliability and accuracy of measurements or communications. The innovative UCF design does not require knowledge of prior data and can detect the amplitude and phase of the weak signal based on the data from a single sensor.
Technical Details: A system of equations serves as a base for designing a reliable weak signal detection system. Because of nonlinearity, the same noise and noise/signal data can be analyzed in different ways using the same equations but different realizations of parameter sets employing distinct dynamical states of the system. Additionally, since the same frequency signals (but different phases) may be recorded on different sensors (employing sensor array), sensor array data could be a substantial addition to adding precision to the proposed detection designs. The UCF technology can be used to detect signals in underwater and atmospheric environments.
Partnering Opportunity: The research team is seeking partners for licensing, research collaboration, or both.
Stage of Development: Prototype available.
Benefit
Provides detection of both amplitude and phase of a periodic signalDoes not require any prior knowledge about the noiseImplemented based on the data from a single sensor instead of an array of sensorsMarket Application
Sensing and communicationsBiomedical applicationsGeophysical applications
Brochure
