Military aircraft operating in controlled airspace must comply with strict Performance Based Navigation (PBN) requirements during approach and landing. Demonstrating compliance can require costly validation exercises, additional onboard equipment and complex flight testing.
An AI-powered simulation tool digitally assesses compliance without the need for additional physical validation flights.
Using historical flight data and advanced machine learning models, the solution reconstructs and predicts the expected navigation performance of an aircraft as if certified onboard equipment were installed. Based on selected flight parameters, the platform generates a simulated approach profile and provides an objective pass/fail compliance assessment.
