{"slug": "why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare", "title": "Why AI-Driven Cognitive Systems Are Redefining Radar and Electronic Warfare", "summary": "A new analysis explains how mode-agile threats render static library radar and electronic warfare systems ineffective, and how AI/ML cognitive architectures using artificial neural networks, deep neural networks, fuzzy logic, and genetic algorithms enable autonomous, real-time countermeasures. The cognitive radar/EW system forms a closed-loop that perceives, learns, reasons, and acts, with training and validation performed via hardware-in-the-loop and software-in-the-loop systems using wideband RF record, simulation, and playback testbeds.", "body_md": "An overview of how mode-agile threats challenge static library radar/EW systems, and how AI/ML cognitive architectures enable adaptive, real-time countermeasures.\n\nWhat Attendees will Learn\n\n- 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.\n- 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.\n- 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.\n- 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.", "url": "https://wpnews.pro/news/why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare", "canonical_source": "https://content.knowledgehub.wiley.com/improving-the-capabilities-of-cognitive-radar-and-electronic-warfare-systems/", "published_at": "2026-07-27 17:54:07+00:00", "updated_at": "2026-07-27 18:28:51.440918+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "neural-networks", "ai-safety", "ai-infrastructure"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare", "markdown": "https://wpnews.pro/news/why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare.md", "text": "https://wpnews.pro/news/why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare.txt", "jsonld": "https://wpnews.pro/news/why-ai-driven-cognitive-systems-are-redefining-radar-and-electronic-warfare.jsonld"}}