Project Grant 2320568
- Federal Grant Award Summary Rutgers, The State University received a $360,000 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective September 1, 2025, with completion targeted for August 31, 2028. The award funds research into dual-function radar-communication (DFRC) systems that integrate sensing and communication capabilities into a single platform. The project develops a...
- This $600,000 grant awarded by the National Science Foundation's (NSF) Engineering (CFDA 47.041) program aims to develop an end-to-end methodology that optimizes Intelligent Reflecting Surface (IRS) design for wideband wireless operation, precise beam pattern generation, and cost reduction. The project, led by The Research Foundation for the State University of New York (RF SUNY), seeks to bridge the gap between theoretical IRS designs and practical implementations by accounting for realistic...
- This $800,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Rutgers, The State University in New Brunswick, NJ. The goal is to develop affordable, accurate, and near-real-time spectrum situational awareness and protection capabilities using backscatter radio fabric technology. Specifically, the project will: Develop a framework for multidimensional spectrum situational awareness using a backscatter fabric to...
- The National Science Foundation Division of Computer and Network Systems awarded a $250,000 Project Grant to Princeton University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for research titled "COLLABORATIVE RESEARCH: SWIFT: NONLINEAR AND INSEPARABLE RADAR AND DATA (NIRAD) TRANSMISSION FRAMEWORK FOR PARETO EFFICIENT SPECTRUM ACCESS IN FUTURE WIRELESS NETWORKS." The three-year award, effective October 1, 2021 through September 30,...
- This National Science Foundation project grant of $285,990 will fund research at Colorado State University from October 2022 through September 2025 under the Engineering program (CFDA 47.041). The university will develop a new mathematical framework for optimizing resilient spectrum coexistence between communication and radar systems using stochastic programming techniques. As demand for wireless connectivity and sensing capabilities increases, traditional deterministic constraints on spectrum...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $550,000 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California, doing business as the University of California, Berkeley. The grant period runs from July 1, 2023 to June 30, 2026. The goal of the research project is to explore low-cost integrated circuit technology for next-generation 240 GHz multiple-input, multiple-output (MIMO) radar...
- The National Science Foundation awarded a $199,902 Project Grant to the University of Massachusetts Dartmouth under the Engineering program (CFDA 47.041). The grant will support the development of an adaptive incremental deep learning architecture to infer radio frequency signals in dynamic spectrum sharing environments in real time. The proposed research aims to advance self-learning of spectrum sensing, signal classification, and radio frequency parameter characterization through an online...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) Project Grant awarded to The Trustees of the Stevens Institute of Technology in Hoboken, New Jersey provides $599,986 from August 1, 2023 to July 31, 2026 to develop an alternative distributed radio frequency (RF) sensing paradigm that can "look around corners" using reconfigurable intelligent surfaces (RIS). The project aims to advance fundamental theory and practical methods...
- This $360,000 three-year Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support the development of coherent processing techniques for passive localization of RF-silent mobile objects using bandwidth-rich wireless signals. The grantee, The Trustees of The Stevens Institute of Technology, will pursue three research thrusts. Thrust A will develop passive localization and mapping...
- Rutgers, The State University received a $500,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041), awarded September 1, 2025, with completion targeted for August 31, 2028. The award funds VSMART (Vital Sign Monitoring Via Remote Tracking), a research initiative to develop an integrated radar-based system for continuous, remote monitoring of vital signs including heart rate and respiration rate across multiple individuals simultaneously. The project...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a 3-year, $199,999 Project Grant to Rutgers, The State University in New Brunswick, NJ under the NSF Engineering program (CFDA 47.041). The purpose of the grant is to develop novel intelligent reflecting surface (IRS)-aided dual-function radar-communication (DFRC) system designs that deliver reliable, high-rate communication while minimizing information accessible to eavesdroppers. The project encompasses two research thrusts: (1) designing IRS-aided DFRC systems for dynamic urban environments using deep reinforcement learning, and (2) introducing the concept of directional modulation via time-modulated IRS to enhance the secure operation of DFRC systems transmitting orthogonal frequency division multiplexing waveforms. Successful implementation of secure DFRC systems has broad applications in areas such as autonomous vehicles, unmanned aerial systems, surveillance, and manufacturing robotics.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 8/9/23 |