Review and prospects of autonomous air combat maneuver decisions
CHEN Hao
HUANG Jian
LIU Quan
ZHOU Si-hang
ZHANG Zhong-jie
Abstract：In the realm of modern air combat,characterized by intense confrontation and high dynamics,autonomous air combat plays a crucial role.It can alleviate the decision-making pressure on pilots,enhance decision-making efficiency and accuracy,improve the effectiveness of unmanned aerial vehicles,facilitate manned and unmanned coordination,and explore new tactics.This paper begins by analyzing the status and interrelationships of within visual range and beyond visual range air combat.We provide a definition of maneuver decisions and highlighting their significance in modern air combat.Next,the importance of autonomous air combat maneuver decisions in the advancement of modern air combat is thoroughly analyzed.Then,existing modeling frameworks and solving methods of autonomous air combat maneuver decisions are reviewed.These methods are categorized into game theory-based,optimization theory-based,and data-driven methods.Each category is thoroughly summarized,including research branches,characteristics,advantages,and limitations.Furthermore,taking the 1v1 air combat as the confrontation scenario and selecting representative algorithms,the performance differences of the three category methods are compared intuitively.Finally,taking into account the core issues,we present several directions for future research and development.
Keywords：autonomous air combatmaneuver decisionreinforcement learninggamesdata drivenoptimization theory
Publication Date：2023-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：26( 2104-2129 )