Signal Processing and Machine Learning for RF Data

The contract seeks the development of advanced AI and machine learning algorithms tailored to process radio frequency sensor data for automatic target recognition, clutter rejection, and anomaly detection in highly complex and dynamic environments. The work is focused on enhancing the ability to distinguish meaningful signals from background noise and environmental interference, ensuring reliable identification of targets under challenging operational conditions. This effort requires expertise in signal processing, statistical learning, and real-time data analysis to deliver robust, adaptive algorithms capable of functioning in non-ideal scenarios. Performed under a subcontract arrangement issued by the Department of Defense through the W6QK Acc-Apg Adelphi office, the project is geographically anchored in Adelphi, Maryland with a ZIP code of 20783. Classified under NAICS code 541715 for research and development in the physical, engineering, and life sciences, the initiative underscores a strategic investment in autonomous sensing technologies for defense applications. The contract was posted on June 17, 2026, and is intended to advance the state of the art in RF-based discrimination systems critical to modern surveillance and intelligence operations.