空战目标轨迹预测技术研究综述
Review of Research on Airborne Target Trajectory Prediction Technology
郭正玉 1刘浩宇 1苏雨2
作者信息
- 1. 中国空空导弹研究院,河南 洛阳 471009
- 2. 西北工业大学 航天学院,西安 710072;空基信息感知与融合全国重点实验室,河南 洛阳 471009
- 折叠
摘要
信息化空战对抗中,快速获取和有效利用对手信息的一方,能够准确地预测对手的运动轨迹,更加迅速地完成OODA循环,进而取得空战优势.本文研究空战目标轨迹预测技术,以时序变化特征为研究视角,分别对基于物理、机器学习和深度学习的轨迹预测技术开展分析和总结,进一步归纳物理因素、空战因素和交互因素等作为轨迹预测模型的输入,单模态轨迹、多模态轨迹和行为意图三类作为模型的输出,并对未来智能化空战中的目标轨迹预测技术进行展望.
Abstract
In information-based air combat,whoever can quickly obtain and effectively utilize opponent informa-tion,can accurately predict the opponent's movement trajectory,complete the OODA cycle more quickly,and thus gain air combat advantages.This article studies the trajectory prediction technology of air combat targets from the char-acteristic of time series variation,analyzes and summarizes trajectory prediction technologies based on physics,machine learning,and deep learning.Furthermore,physical factors,air combat factors,and interaction factors are used as in-puts to the trajectory prediction model.Single modal trajectory,multimodal trajectory,and behavioral intention are used as outputs of the model.Finally,this article looks forward to the target trajectory prediction technology in future intelligent air combat.
关键词
信息化空战/OODA循环/目标轨迹预测/空战对抗/机动决策Key words
information-based air combat/OODA cycle/target trajectory prediction/air combat confrontation/maneuvering decision引用本文复制引用
基金项目
航空科学基金(20220001053002)
出版年
2024
国家科技期刊平台
NSTL
万方数据