Space-based Sensor Integration with the Advanced Warfighting Simulation (AWARS) using HLA

摘要

During the September 2001 Space Force Management Analysis Review (FORMAL), the Army Vice Chief of Staff acknowledged deficiencies in representing advanced space-based capabilities within the modeling and simulation (M&S) environment. In response to these findings a Focus Area Collaborative Team (FACT), led by the U.S. Army Space & Missile Defense Command (SMDC), began the process of identifying steps necessary to address the specific shortcomings for Joint Space M&S applications. A resulting effort of the FACT was an Army Model Improvement Program with the objective to introduce space-based sensor functionality into the Advanced Warfighting Simulation (AWARS) currently being developed by the Army Training and Doctrine Command (TRADOC) Analysis Center (TRAC). The purpose of this paper is to provide a detailed description of the technical effort to integrate space-based sensor functionality into the AWARS system. The paper begins with a description of both the AWARS and space-based sensor simulation systems. Focus is then placed on the new Space-based Sensor (SBS) federate designed and developed to improve intelligence, reconnaissance, and surveillance (ISR) modeling within the context of a distributed simulation environment. Utilizing the battlefield state information provided by AWARS, the SBS federate provides the capability to implement scheduled sensor requests, respond to dynamic tasking, and generate Synthetic Aperture Radar (SAR) and Ground-Moving Target Indicator (GMTI) sensor collection reports. The paper then provides an overview of the effort to link the SBS federate with AWARS utilizing the High Level Architecture (HLA). Specific insight into the development of the HLA Federation Object Model (FOM) as well as the Run-Time Infrastructure (RTI) services implemented to accomplish interoperability will be provided. Finally, the paper will present a summary of the integration activity to include technical lessons learned as well as the overall benefit to studies and analysis realized by representing advanced space-based capabilities within the distributed simulation domain.