Strategic Tracking with Conflicting Filters: A Study of Kalman and Particle Filters in Nonlinear Game-Theoretic Systems
When two naval ships cross paths, they each use their own sensors and tracking models to assess the situation and make decisions, like a two-player game. However, these models, specifically Kalman and particle filters, lead to different perspectives and expected futures shaped by what each thinks is true. This study simulates and explores how conflicting objectives affect outcomes in tracking games and how game-theoretic decisions shift when each side assumes a different model, as applied to simulated Naval combat scenarios.