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Journal of System Simulation

Abstract

Abstract: With the rapid development of sensor networks and other technologies, the acquisition of measurement data in the real physical space has become easier. How to utilize the measurement data from the real battlefield space to improve the accuracy and credibility of CGF simulation is the key issue to realize the CGF simulation combining virtual and real. The method is studied of using real measurement data to generate CGF model maneuvering state data in real time, in order to realize the virtual-real synchronization and real-time mapping between the real battlefield and CGF simulation system, and to provide environmental inputs for the self-help planning decision-making behavior of CGF. A stochastic finite-set based modeling method for simulation and measurement models is given. A PHD/MIB (probability hypothesis density/multi-instance bernoulli) filter based CGF maneuvering state prediction correction method is designed, and an efficient real-time solver for the proposed state generation method is given by applying various techniques such as SMC, GPU and D-S evidence theory in a comprehensive way. The accuracy and effectiveness of the proposed method is verified by a case study of land operation simulation.

First Page

2211

Last Page

2224

CLC

TP391.9

Recommended Citation

Zhang Xiaoyan, Li Ge, Wang Peng. Research on Real-time CGF Maneuvering State Generation Method Based on Random Finite Set[J]. Journal of System Simulation, 2025, 37(9): 2211-2224.

Corresponding Author

Wang Peng

DOI

10.16182/j.issn1004731x.joss.24-0433

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