Radar Countermeasures Simulation Factor Analysis Method of Fidelity-oriented

Authors

Guoliang Wang, Luoyang Electronic Equipment Test Center of China, Luoyang 471003, China;
Huanyao Dai, Luoyang Electronic Equipment Test Center of China, Luoyang 471003, China;
Xujian Shen, Luoyang Electronic Equipment Test Center of China, Luoyang 471003, China;
Zhou Bo, Luoyang Electronic Equipment Test Center of China, Luoyang 471003, China;

Abstract

Abstract: It is crucial to assess the fidelity of operational objectives simulation and complex electromagnetic environment building for designing a military simulation system. Traditional confidence, credibility, similarity are difficult to fully evaluate the entire system, and hard to focus. To solve the problem of fidelity analysis and evaluation of operational objectives and battlefield simulation environment building, the concept and content of simulation fidelity were analyzed to explore the factor analysis principle and hierarchical classification method, etc., taking radar group network confrontation as an example, and its level division structure was given. General principles and methods of radar countermeasure high-fidelity simulation were focused on. The proposed method has some significance for battlefield electromagnetic environment simulation, optical warfare simulation, communicate warfare simulation and other similar systems, which provides a theoretical basis for static and dynamic fidelity assessment.

Recommended Citation

Wang, Guoliang; Dai, Huanyao; Shen, Xujian; and Bo, Zhou (2020) "Radar Countermeasures Simulation Factor Analysis Method of Fidelity-oriented," Journal of System Simulation: Vol. 27: Iss. 11, Article 1.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss11/1

First Page

2623

Revised Date

2014-06-20

DOI Link

https://doi.org/

Last Page

2629

CLC

TN97

Recommended Citation

Wang Guoliang, Dai Huanyao, Shen Xujian, Zhou Bo. Radar Countermeasures Simulation Factor Analysis Method of Fidelity-oriented[J]. Journal of System Simulation, 2015, 27(11): 2623-2629.