现代雷达2025，Vol.47Issue(11)：66-74,9.DOI:10.16592/j.cnki.1004-7859.2025060901
基于外辐射源雷达航迹运动特征的无人机与飞鸟识别
UAV and Bird Recognition Based on Motion Features of Passive Radar Track
摘要
Abstract
Since unmanned aerial vehicle(UAV)and bird both belong to the category of"low,slow,and small"(LSS)targets,accurate identification and classification of them are particularly important.However,current commonly used classification methods suffer from a"black box"problem,where the decision basis of the model cannot be clearly interpreted.To address this issue,starting from the motion principles of UAV and bird,the differences in their motion trajectories are analyzed,the corresponding motion features are extracted,and these features are further categorized into macroscopic and microscopic characteristics.Subse-quently,a light gradient boosting machine algorithm is employed to construct a classification model.The tree-structured Parzen es-timator is introduced to optimize model parameters,while the Shapley additive explanations interpretation algorithm is integrated to visually demonstrate the model's decision-making process,thereby clarifying the contribution of different motion features to model accuracy and highlighting the importance of each feature in classification decisions.Experiments conducted on the"passive radar LSS target detection dataset"show that the proposed UAV and bird recognition model achieves an accuracy rate of 92%.Compari-sons with other algorithms under identical conditions confirm the effectiveness and superiority of the proposed method.关键词
外辐射源雷达/雷达目标分类/轻量级梯度提升机/可解释/参数优化Key words
passive radar/radar target classification/light gradient boosting machine/explainable/parameter optimization分类
计算机与自动化引用本文复制引用
张强,曹恒,林智奇..基于外辐射源雷达航迹运动特征的无人机与飞鸟识别[J].现代雷达,2025,47(11):66-74,9.基金项目
中央高校基本科研业务费专项资金资助项目(ZJ2023-007) （ZJ2023-007）
中国民用航空局飞行技术与飞行安全重点实验室资助项目(FZ2025ZX31) （FZ2025ZX31）
中国民航教育人才类资助项目(MHJY2025010) （MHJY2025010）
