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基于Transformer网络的无人机目标航迹关联方法

张强 王淳 陈亚伟

空天预警研究学报2025,Vol.39Issue(2):90-92,98,4.
空天预警研究学报2025,Vol.39Issue(2):90-92,98,4.DOI:10.3969/j.issn.2097-180X.2025.02.003

基于Transformer网络的无人机目标航迹关联方法

A UAV track correlation method based on Transformer network

张强 1王淳 1陈亚伟1

作者信息

  • 1. 南京电子技术研究所,南京 210039||雷达探测感知全国重点实验室,南京 210039
  • 折叠

摘要

Abstract

In order to solve the problems of high correlation error rate and low correlation efficiency of tradi-tional trajectory correlation methods in dense target scenarios,this paper proposes a Transformer network-based trajectory correlation method,in which the Transformer network is used to automatically extract correlation fea-tures and automatically learn trajectory correlation criteria,with the end-to-end correlation of radar trajectories achieved.The simulation results show that compared with the traditional joint probability data association(JPDA)method,the method proposed in this paper has better trajectory correlation ability.This method provides a solu-tion for trajectory correlation in dense target scenarios.

关键词

无人蜂群/航迹关联/Transformer网络/端到端方法

Key words

unmanned aerial vehicle swarm/track correlation/Transformer network/end-to-end approach

分类

信息技术与安全科学

引用本文复制引用

张强,王淳,陈亚伟..基于Transformer网络的无人机目标航迹关联方法[J].空天预警研究学报,2025,39(2):90-92,98,4.

基金项目

国家自然科学基金资助项目(U19B2031) (U19B2031)

空天预警研究学报

2097-180X

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