Signal Processing Techniques to Improve Low Probability of Intercept Signal Detection and Characterization
This grant seeks signal processing methods, like time-frequency analysis, to better detect and identify hard-to-find signals, especially when the signal is weak.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application deadline)
Funding Amounts: Base stipend approximately $95,000 plus $5,000 travel allowance; experience-based supplements available; typical award duration 2-3 years.
Summary: Supports postdoctoral and senior researchers in developing advanced signal processing techniques to improve detection and characterization of Low Probability of Intercept (LPI) signals, especially in low signal-to-noise ratio environments.
Key Information: Open to U.S. citizens; requires contacting a Research Adviser prior to application; relocation and health insurance benefits included.
Description
This fellowship opportunity under the NRC Research Associateship Programs focuses on research to develop and investigate signal processing techniques aimed at improving the detection and characterization of Low Probability of Intercept (LPI) signals. The research is particularly targeted at challenging low signal-to-noise ratio (SNR) environments where LPI signals are difficult to detect.
Preferred methodologies include Time-Frequency Distribution, the Reassignment Method, and the Hough Transform, though other effective signal processing techniques may also be considered. The goal is to enhance the ability to identify and analyze signals that are designed to evade interception, which has applications in defense and intelligence.
The research will be conducted at the Air Force Research Laboratory's Information Directorate in Rome, NY, under the Air Force Science and Technology Fellowship Program (AF STFP).
