Why AI-Driven Cognitive Systems Are Redefining Radar and Electronic Warfare

<img src="https://spectrum.ieee.org/media-library/rohde-schwarz-logo-with-make-ideas-real-tagline-and-rs-monogram-in-diamond.png?id=67541140&width=980"/><br/><br/><p>An overview of how mode-agile threats challenge static library radar/EW systems, and how AI/ML cognitive architectures enable adaptive, real-time countermeasures.</p><p>What Attendees will Learn</p><ol><li>Why mode-agile threats render static library systems ineffective — Explore how wartime reserve modes and mode-agile emitters deploy unexpected frequencies, modulation techniques, and hopping schemes that cannot be matched against traditional threat databases, leaving legacy electronic protect, attack, and support systems unable to respond.</li><li>How AI/ML techniques power cognitive radar/EW systems — Understand the roles of artificial neural networks (ANN), deep neural networks (DNN), fuzzy logic, and genetic algorithms in enabling autonomous threat classification, signal de-interleaving, and real-time countermeasure generation without human intervention.</li><li>The architecture of a cognitive radar/EW system — Examine the functional blocks including RF acquisition, search and tracking, core AI/ML signal analysis, waveform synthesis, and RF generation, and how they form a closed-loop system that perceives,learns, reasons, and acts autonomously.</li><li>How to train and validate cognitive AI/ML algorithms using HIL/SIL systems — Learn how wideband RF record, simulation, and playback testbeds combined with modeling and simulation software enable iterative algorithm refinement, regression testing, and mission preparation in controlled laboratory environments.</li></ol><div><a href="https://content.knowledgehub.wiley.com/improving-the-capabilities-of-cognitive-radar-and-electronic-warfare-systems/" target="_blank">Download this free whitepaper now!</a></div> Reference: https://ift.tt/JUg23Xr