Hybrid high-fidelity modeling of Radar scenarios using atemporal, Discrete event, and Time-Step simulation

Many simulation scenarios attempt to seek a balance between model fidelity and computational efficiency. Unfortunately, scenario realism and model level of detail are often reduced due to the complexity of experimental design and corresponding limitations of computational power. Such simplifications can produce misleading results. For example if the Radar Cross Section (RCS) effects in response to timevarying target aspect angle are ignored. A hybrid, high-fidelity sensor model can be achieved by using a Time-Step (TS) approach with precomputed atemporal response factors (such as RCS) each situated on active entities that interact within an overall Discrete Event Simulation (DES) framework. This paper further applies regression analysis to the cumulative results of 100 replications times 255 scenarios to provide additional insight. This new methodology adapts the best aspects of each simulation paradigm to integrate multiple high-fidelity physically based models in a variety of tactical scenarios with tractable computational complexity.