| In modern war, the battlefield information, specially the information ofidentification friend or foe is a important factor to affect the outcome of a war. Friend orfoe identification includes Cooperative Identification Friend or Foe (IFF) andnon-cooperative identification friend or foe (radar). In order to obtain more reliable andmulti-level Friend or foe information, the system must fuse IFF and radarinformation. On the basis of the specific research projects, this paper build Radar andIFF Friend or Foe Identification Simulation System on High Level Architecture(HLA).The paper firstly research on HLA Rules,Interface Specification and FederationDevelopment and Execute Process Model.And then combined with the simulationrequirements of the project, analysis of comprehensive identification informationinteraction requirements of simulation system, based on this design, the object ofintegrated recognition simulation system model and information interaction modelbetween subsystems, build for radar and IFF comprehensive recognition based on HLAsimulation system framework of distributed simulation in order to ensure the scalabilityof the Simulation System.According to the simulation requirements of comprehensive identification friend orfoe simulation system,the whole framework of the Simulation System is designed, maincontrol system, calculation target system,foundation integrated simulation system andairborne integrated simulation system four federal members are developed,thecomprehensive identification friend or foe time management strategy of simulationsystem is designed.Running hardware and software support environment of simulation system is given,the system simulation thread structure and the simulation operation process is designed.On the basis of the federal member unit testing, the simulation system is tested, analysisof comprehensive identification friend or foe the test results of the simulation system.Radar and IFF Friend or Foe Identification Simulation System based on HLA canrealize many kinds of friend or foe identity information fusion, with goodinteroperability and scalability. |
