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.
| Original language | English |
|---|---|
| Pages (from-to) | 348-361 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 74 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- Air combat phase
- BVR air combat
- rule-based decision-making
- tactical parameter analysis
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