信息与控制2024，Vol.53Issue(6)：712-722,11.DOI:10.13976/j.cnki.xk.2024.3320
基于环境特征融合的海战单目标态势感知
Single Target Situational Awareness in Naval Warfare Based on Environmental Feature Fusion
摘要
Abstract
Situational awareness is the inference and judgment of enemy combat intentions in a real-time battlefield environment.In order to improve the accuracy of predicting the situation of single targets in naval warfare,we propose a CNN-BiGRU(CNN-Bidirectional Gated Recurrent Unit)naval warfare single target situational awareness model based on environmental feature fusion.Firstly,we propose a method of integrating environmental features with temporal features to address the impact of environmental information redundancy on intention prediction.Secondly,we combine the convo-lutional neural network with the BiGRU network to extract and fuse environmental and temporal features.The experimental results show that the situational awareness model that integrates envi-ronmental features,improves the accuracy of intent recognition and solves the problem of intent prediction in single target naval battles.关键词
海战/态势感知/深度学习/特征融合/单目标Key words
naval warfare/situational awareness/deep learning/feature fusion/single target分类
信息技术与安全科学引用本文复制引用
黄陈雨佳,陈胜..基于环境特征融合的海战单目标态势感知[J].信息与控制,2024,53(6):712-722,11.基金项目
国家自然科学基金项目(81101116) （81101116）
