Air-to-Air Targeting Algorithms for Turreted Gun Systems

The objective of this proposal is to demonstrate the feasibility of developing novel air-to-air targeting algorithms that address many existing challenges based on state-of-the-art model-based engineering technologies. The concept being proposed is to use a software-based Targeting Algorithm Test Bed that supports plug-and-play tests of different targeting algorithms and effects, and automatically generates and/or optimizes air-to-air targeting algorithms through combining with model-based optimization and simulated annealing. The Test Bed to be developed under this project contains a first-principles model that describes the fundamental physics of air-to-air targeting under ideal circumstances; adaptive data processing algorithms that result in better information acquisition; data filters that remove unwanted random errors; an accurate target-tracking algorithm that tracks and predicts the target location; a CFD model that simulates the aerodynamics effects to bullets; a surrogate model that mimics the CFD model to reduce computational time; a control system that manages, commands, and directs the behaviors of all devices in the targeting system. The software will combine ideas from object-oriented programming and hybrid simulation, and has an open architecture, which makes it easy to integrate with other software. It will be ideal for developing highly modular air-to-air targeting simulation software that meets the JMR requirements.