上海航天（中英文）2024，Vol.41Issue(1)：130-136,7.DOI:10.19328/j.cnki.2096-8655.2024.01.017
一种基于航迹特征的无人机与飞鸟目标雷达识别方法
A Radar Recognition Method for UAV and Flying Bird Targets Based on Track Characteristics
管康萍 1冯正康 2马小艳 2张良俊 2崔杰 2叶舟2
作者信息
- 1. 中国人民解放军93128部队,北京 100080
- 2. 上海航天电子通讯设备研究所,上海 201109
- 折叠
摘要
Abstract
For modern radar detection systems,unmanned aerial vehicles(UAVs)and birds belong to a typical type of targets with"low,slow,and small"characteristics.In complex combat environments,the functional requirements of radar detection systems are not only limited to achieving stable detection and tracking of the two targets.How to effectively distinguish the two types and complete the recognition is an urgent and important challenge at present.Conventionally,the targets are distinguished from the differences in their micro-motion characteristics.However,it is difficult to extract the target features through time-frequency analysis methods since the amplitudes of the two echoes are very weak.In order to solve this problem,in this paper,a radar recognition method for UAVs and flying bird targets is proposed based on track characteristics.First,the differences in the motion trajectories of the two targets are compared,then a feature analysis is conducted,and a time-dependent description method for heading the oscillation frequency and velocity oscillation frequency feature quantities is proposed.In the offline state,the effective feature quantities of the two targets are extracted from the track data recorded by the actual radar system.Then,the samples are trained by the support vector machine algorithm.After the optimal model parameters are obtained,tests are carried out.The test classification results show that the accuracy of the identification can reach 87％.Finally,flight tests in the online state are conducted.The obtained results not only indicate the correctness of the method,but also reflect its lightweight,practicality,and applicability in the perspective of engineering implementation,which has high value.关键词
低慢小/特征提取/目标识别/支持向量机/机器学习Key words
low,slow,and small/feature extraction/target recognition/support vector machine/machine learning分类
信息技术与安全科学引用本文复制引用
管康萍,冯正康,马小艳,张良俊,崔杰,叶舟..一种基于航迹特征的无人机与飞鸟目标雷达识别方法[J].上海航天（中英文）,2024,41(1):130-136,7.
