Threat Assets for Test and Evaluation (TATE) Workshop

The goals of this workshop are to: 

• Introduce the T&E threat representation development strategy (strategic asset approach). 
• Provide a foundational, introductory education on advanced technologies of strategic importance to threat development for T&E.
• Foster networking and collaboration opportunities with experts across the DOW and industry to accelerate development of effective T&E solutions. 

Day one focuses on threat asset technical strategy for T&E.  On days two and three, the workshop emphasizes a balanced approach developing various synergistic assets – such as test targets, modeling and simulation (M&S) products, simulators, and stimulators – to fulfill the end-to-end T&E needs of DOW systems under test. One key attribute is the rapid integration of evolving threat technologies. 

Over four days, the workshop will feature technical briefings and hands-on lab demonstrations with interactive sessions to equip attendees with practical insights, tools, and connections.

Attendee Learning Objectives 

Day 1: Threat Engineering T&E Asset Development Strategy

• Learn a novel efficient and effective approach to satisfy future comprehensive DOW T&E threat-representative assets strategy using threat engineering techniques. 

• Explore the application of threat engineering to T&E asset development, including a dedicated session on radar cross section (RCS) characterization and requirements. 

• Learn how to construct complex threat flight dynamics models affordably and implement them using a test-bed simulation architecture approach. 

• Evaluate advanced engineering techniques for generalized modeling of threat missile damage states and assessing range-dependent lethality. 

Day 2 Option 1: Electromagnetic Warfare

• Examine the design of RF missile seekers with active electronically scanned array (AESA) antennas
• Seeker waveform design including low probability of intercept waveform development for imaging, and AI/ML-based waveform progress
• Threat missile seeker synthetic aperture imaging configurations and their advantages
• Identify the importance of EA, EP and counter-DRFM methods
• Calculation of the capability of a network-enabled, digital RF memory swarm within an EA adversarial C4ISR campaign

Day 3: AI/ML using Physics-Informed Neural Networks (PINNs)

• Learn the fundamentals of AI/ML and PINNs as applied to engineering practices.

• Understand how different engineering analysis techniques can support AI/ML based 6DoF missile design and performance evaluations, including scaled flight testing, CFD/6DoF, CFD and analytical approaches.

• Explore the use of AI/ML, including Physics Informed Neural Networks (PINNs), in both threat engineering and integrated missile defense systems M&S.

Day 4: Interactive Matlab/Simulink Laboratory Sessions

• Introductory practical exercises in a computer lab setting using MATLAB/Simulink. 

• Work through complex 6DoF air defense system-missile engagement with AT3MSTB. 

• Understand a missile seeker model in SIMULINK and evaluate its performance in a missile – ASCM decoy engagement. 

• Use time-frequency and bi-frequency neural network constructs for detection and classification of intercepted threat waveforms. 

• Execute a comparison test evaluating adversarial C4ISR against a multifunction RF sensor system.