Practical DRFM Technology and EMS Design Considerations
Thursday, February 7, 2019 14:00 until 15:00 EST
During this 1-hour webinar, we will begin with an overview of the DRFM (Digital RF Memory) architecture and functionality performed and work through several examples of practical DRFM technology concepts including photonics and superconductivity. We will explore design constructs that allow the mathematical models to be realized that enable managing the Electromagnetic Spectrum (EMS) from several band-vantage points. For example, RF receiver noise-band, threat radar-band and band-sampling strategies. The use of non-uniform sampling, over-sampling and under-sampling concepts are folded into an overall understanding of EMS maneuvering. Technical considerations are then introduced along with modern front-end architectures - e.g., Nyquist Folding Receiver (NYFR), photonic NYFR, Robust Symmetrical Number System (RSNS), and Superconducting Quantum Interference Devices (SQUID). Algorithms for DRFM-Electronic Attack (EA), creating superior range-Doppler decoys will be discussed. Modern time-frequency & bi-frequency Electronic Support (ES) detection methods will be reviewed. Automatic algorithms for DRFM-ES detecting and classifying RF threats will be covered. Feature vector recognition using recurrent, convolutional & deep neural networks will then be discussed. The latest technological trends, such as counter-DRFM and Direct Digital Synthesizers (DDS) will be reviewed.
Dr. Phillip Pace is a professor in the Department of Electrical and Computer Engineering at the Naval Postgraduate School. He received the B.S. and M.S. degrees from the Ohio University in 1983 and 1986 respectively, and the Ph.D. from the University of Cincinnati in 1990, all in electrical and computer engineering.
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For questions, please contact Tim Hutchison.
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