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空战目标轨迹预测技术研究综述

郭正玉 刘浩宇 苏雨

航空兵器2024,Vol.31Issue(2):32-43,12.
航空兵器2024,Vol.31Issue(2):32-43,12.DOI:10.12132/ISSN.1673-5048.2024.0038

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

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

分类

军事科技

引用本文复制引用

郭正玉,刘浩宇,苏雨..空战目标轨迹预测技术研究综述[J].航空兵器,2024,31(2):32-43,12.

基金项目

航空科学基金项目(20220001053002) (20220001053002)

航空兵器

OA北大核心CSTPCD

1673-5048

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