Modeling and Simulation of C2 System for Intercepting LSS Targets

Authors

Zhipeng Zhang, Beijing Information Science and Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;
Su Zhong, Beijing Information Science and Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China;

Abstract

Abstract: For analyzing the characteristics of low slow small (LSS) targets, a model of command and control (C2) system is established, the corresponding strategy is designed, and the designed scenario is simulated, which can improve the interception effect of the system on LSS targets. In the part of modeling, the trajectory of the target is plotted, the radar information is analyzed, the coordinate transformation between the parts is designed, and the track fusion is designed, which can improve discovery process. As the different characteristics of LSS targets, combined with the limited resources for intercepting weapons, the threat assessment strategies and fire distribution strategies are designed to improve the operational effectiveness of weapons. The numerical simulation is used to simulate the scene and the function of each part of the system is implemented well. The system has simple model programming, reasonable strategy formulation, and strong representativeness of the simulation scene, which can facilitate the design and analysis of technicians.

Recommended Citation

Zhang, Zhipeng and Zhong, Su (2019) "Modeling and Simulation of C2 System for Intercepting LSS Targets," Journal of System Simulation: Vol. 30: Iss. 11, Article 35.
DOI: 10.16182/j.issn1004731x.joss.201811035
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/35

First Page

4340

Revised Date

2018-06-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811035

Last Page

4348

CLC

TP391.9

Recommended Citation

Zhang Zhipeng, Su Zhong. Modeling and Simulation of C2 System for Intercepting LSS Targets[J]. Journal of System Simulation, 2018, 30(11): 4340-4348.

DOI

10.16182/j.issn1004731x.joss.201811035