摘要
为了提升常规雷达目标识别的能力,以含有更多目标原始信息的回波视频信号为基础,研究了目标回波视频信号的特征提取,提出一种基于支持向量机的目标识别方法.最后通过仿真实验验证了本文方法的有效性.仿真结果表明,采用本文方法对目标大小识别的准确率与信噪比、采样率有关;对目标机型识别能得到较高的准确率.
In order to improve the performance of conventional radar target recognition,this paper is based on the echo video signal containing more raw information of the target to study the feature extraction of target echo video signal,proposing a target recognition method based on support vector machine(SVM).Finally,the paper verifies the effectiveness of the proposed method by simulation experiments.Simulation results show that the accuracy of target size recognition based on the proposed method is related to signal-to-noise ratio(SNR)and sampling rate,and that the proposed method has higher accuracy in recognizing the target type.
作者
冯讯
李灵芝
吴培烽
贾瑞涛
FENG Xun;LI Lingzhi;WU Peifeng;JIA Ruitao(Air Force EarlyWarning Academy,Wuhan 430019,China)
出处
《空军预警学院学报》
2021年第1期1-5,共5页
Journal of Air Force Early Warning Academy
关键词
雷达回波
视频信号
目标智能识别
支持向量机
radar echo
video signal
target intelligent recognition
support vector machine
