Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (5): 936-948.doi: 10.16182/j.issn1004731x.joss.21-1341

• Papers • Previous Articles     Next Articles

Modeling and Simulation of Spaceborne, Near-Spaceborne, and Airborne Integrated Collaborative Remote Sensing System Based on DoDAF

Lili An(), Tian Xia, Wenbin Yang, Xinbo Wu   

  1. Beijing Orient Institute for Measurement & Test, Beijing 100086, China
  • Received:2021-12-24 Revised:2022-01-24 Online:2023-05-30 Published:2023-05-22

Abstract:

Spaceborne, near-spaceborne, and airborne integrated collaborative remote sensing system (SNA-ICRSS) makes comprehensive use of modern information technology to aggregate multiple and heterogeneous data in spaceborne, near-spaceborne, and airborne domains, so as to realize accurate emergency service and command decision-making. SNA-ICRSS is huge and complex, and there is a lack of research on its architecture modeling and simulation. According to the architecture characteristics of the SNA-ICRSS, the minimum prototype of the SNA-ICRSS is constructed; through the department of defense architecture framework (DoDAF) and activity based methodology (ABM) methods, the minimal prototype of the SNA-ICRSS is modeled, and the operational resource flow, information interaction mode, functional structure division, and system interface representation of the SNA-ICRSS are analyzed. In addition, the specific application of the SNA-ICRSS under emergency information support mode and conventional remote sensing observation mode is discussed. The verification test results show that the model is reasonably constructed and can lay a foundation for integrated simulation and efficiency evaluation of the SNA-ICRSS. In addition, the model can provide a reference for the research and optimization design of the SNA-ICRSS.

Key words: spaceborne, near-spaceborne, and airborne integrated collaborative remote sensing system (SNA-ICRSS), prototype system, modeling technology, department of defense architecture framework (DoDAF), activity based methodology (ABM)

CLC Number: