Association of Old Crows (AOC)

AOC Members – $750

Government/Military – $750

Non-Members – $1,000

Questions related to registration can be directed to Samantha Kim, Professional Development Coordinator, at [email protected].

AOC Members – $750

Government/Military – $750

Non-Members – $1,000

Questions related to registration can be directed to Samantha Kim, Professional Development Coordinator, at [email protected].

Modern Electromagnetic Warfare Operations (EMO) relies on mission datasets that predict and catalogue emission signatures to support emitter Identity (specific source) and Recognition (type or category). These datasets feed the Recognised Electromagnetic Picture (REMP) and the Common Operating Picture (COP). However, real-world conditions often diverge from predictions: variations in equipment, probabilistic signal observations, and incomplete TECHINT analysis can introduce uncertainty.

When Identity or Recognition is ambiguous, geolocation accuracy also suffers. For example, multiple identical emitters observed through Lines of Bearing (LOB) can generate numerous candidate positions, of which only some are correct. As emitter density increases, this ambiguity grows exponentially, degrading Situational Awareness (SA) and operational decision-making.

This session explores the underlying problem space of LOB-based geolocation under ambiguity, including how observer count, altitude, and system scaling influence the number of candidate solutions and the probability of identifying the correct emitter location. It introduces a geometric, equipment-agnostic discrimination method based on a graph data-structure with probabilistic agreement between observer pairs, enabling probability imbalance to isolate true solutions.

Unlike approaches that rely on tracking, parametric comparison, or Machine Learning (ML), this method operates at the detection stage, reducing false solutions without added latency or trust concerns. It supports coalition operations by decoupling reliance on emitter identity and enabling geolocation of previously unencountered emitters. Operational use cases demonstrate how asset tasking can further bias probabilities to improve solution accuracy, preserving SA in complex and dynamic EW environments.

LEARNING OBJECTIVES: Attendees will learn/takeaway:

• Outcome 1: Understand the challenges of Line of Bearing (LOB) geolocation and how emitter ambiguity degrades accuracy and situational awareness.
• Outcome 2: Analyze how system factors—such as number of observers, altitude, and linear scaling—lead to exponential growth in false geolocation solutions.
• Outcome 3: Apply a graph-based, equipment-agnostic geolocation discrimination method that reduces false solutions and supports coalition EW operations without reliance on tracking or ML

TARGET AUDIENCE:
EW practitioners, particularly those involved in SIGINT analysis and geolocation.

The Chinese People's Liberation Army has been undertaking a massive modernization effort that will see it "fully mechanize, fully informationized, and fully intelligence-ized." The "intelligence-ization" phase of Chinese modernization is about exploiting the most recent advances in information technology, including aspects of artificial intelligence, but also big data. 

This presentation examines how artificial intelligence is enabling a fundamental shift in unmanned platform RF architecture — replacing discrete radar, communications, jamming, and ESM payloads with a single integrated low-SWAP multifunctional RF system. The key enabler is AI's ability to switch and orchestrate shared apertures and waveforms across all functions in microseconds, continuously rebalancing mission priorities as the electromagnetic environment evolves. We explore the AI technologies driving this capability — from reinforcement learning-based aperture scheduling to cognitive waveform synthesis — while candidly addressing the core tradeoffs: performance versus resource sharing, switching speed versus reasoning depth, and adaptability versus training data dependency. For drone platforms where every gram and cubic centimeter is contested, AI-enabled multifunctional RF is not an incremental improvement — it is the only architecture that makes full-spectrum capability physically possible.

Agenda:

• 8:00 – 8:45 AM
  • Global Navigation Satellite Systems – The Technology
• 8:45 – 9 AM
  • Discussion and Break
• 9:00 – 9:45 AM
  • Threats to Satellites, Signals, and Users
• 9:45 – 10 AM
  • Discussion and Break
• 10:00 – 10:45 AM
  • Alternative PNT Technologies
• 10:45 – 11 AM
  • Discussion and Break
• 11:00 – 11:45 AM
  • PNT in Great Power Competition
• 11:45 AM – 12:00 PM
  • Wrap-up

In honor of Veterans Day, join us for a special webinar, “Evolution of EW,” recognizing the service and contributions of veterans who have shaped the field of electromagnetic warfare.

From the earliest efforts to control and exploit the electromagnetic spectrum to today’s advanced, spectrum-dominant capabilities, electromagnetic warfare has continually evolved alongside the changing character of conflict. This webinar will explore the progression of EW technologies and operational tools used by the military, highlighting how decades of innovation, operational lessons, and emerging threats have driven new approaches to spectrum operations.

Participants will gain insight into how early EW techniques and platforms laid the groundwork for modern systems, as well as how current capabilities are designed to meet the demands of multi-domain operations and increasingly contested electromagnetic environments.

Through historical perspective and technical discussion, this webinar will honor the veterans who pioneered these capabilities while examining the technologies that continue to shape the future of electromagnetic warfare.