Exploring Critical Decision Schemes and Tactical Parameters in Typical Beyond Visual Range Air Combat

The complexities inherent in beyond-visual-range (BVR) air combat research stem from various intertwined factors, including dynamic nonlinear interactions, evolving dynamics during confrontations, and significant delays in countermeasure outcomes. These complexities create challenges in managing system state variables and navigating a vast strategic solution space. Applying algorithms directly to address these challenges often worsens the complexities, leading to considerable deviations and convergence issues. This paper tackles these challenges by initially dissecting the core elements intrinsic to the confrontation process. It establishes a detailed BVR confrontation environment, scrutinizes the stage characteristics of typical confrontations, introduces a framework for BVR confrontation decision-making, and devises a rule-based state-switch decision method. Moreover, it extracts and analyzes key decision parameters, deliberating on the tactical significance of the chosen parameters. The proposed method offers robust interpretability and demonstrates strong decision-making capabilities through simulation results, showcasing its advantages in autonomous decision-making during confrontations.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-09-10
DOI
https://doi.org/10.1109/tvt.2024.3458076
Citations
5
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
3.22
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article

Exploring Critical Decision Schemes and Tactical Parameters in Typical Beyond Visual Range Air Combat

Li Mo, Bingwei Yang, Maolong Lv, Can Chen et al.
5 citations
IEEE Transactions on Vehicular Technology
Human-Automation Interaction and Safety
3.22
article

Exploring Critical Decision Schemes and Tactical Parameters in Typical Beyond Visual Range Air Combat

Li Mo, Bingwei Yang, Maolong Lv, Can Chen, Jiang Wang
article en
5 citations

Abstract

The complexities inherent in beyond-visual-range (BVR) air combat research stem from various intertwined factors, including dynamic nonlinear interactions, evolving dynamics during confrontations, and significant delays in countermeasure outcomes. These complexities create challenges in managing system state variables and navigating a vast strategic solution space. Applying algorithms directly to address these challenges often worsens the complexities, leading to considerable deviations and convergence issues. This paper tackles these challenges by initially dissecting the core elements intrinsic to the confrontation process. It establishes a detailed BVR confrontation environment, scrutinizes the stage characteristics of typical confrontations, introduces a framework for BVR confrontation decision-making, and devises a rule-based state-switch decision method. Moreover, it extracts and analyzes key decision parameters, deliberating on the tactical significance of the chosen parameters. The proposed method offers robust interpretability and demonstrates strong decision-making capabilities through simulation results, showcasing its advantages in autonomous decision-making during confrontations.

IEEE Transactions on Vehicular TechnologyVol. 74(1)
Beijing Institute of Technology (CN), Air Force Engineering University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
3.22
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