一种导航雷达辐射源细微特征提取方法  

A method of subtle feature extraction for navigation radar emitter

作　　者：蓝天亮 茅玉龙 杨明远 LAN Tian-liang;MAO Yu-long;YANG Ming-yuan(The 724 Research Institute of CSSC,Nanjing 210000,China)

机构地区：[1]中国船舶集团有限公司第七二四研究所,江苏南京210000

出　　处：《舰船科学技术》2024年第10期147-151,共5页Ship Science and Technology

摘　　要：针对常规方法对导航雷达辐射源识别正确率低的问题,通过分析研究导航雷达的信号时频特点和无意调制特性,重点关注脉冲信号的瞬时频率,特别是脉冲上升沿和下降沿处,对瞬时频率的变化率取一系列采样点组成向量作为特征,使用支持向量机做分类,基于仿真数据的实验表明,以脉冲前后沿的频率变化为特征比以整个脉冲的频率变化为特征更能区分不同的雷达辐射源信号,不仅提高了识别正确率,而且降低了计算量,该方法在单载频信号、线性调频信号和二相编码信号中获得了令人满意的结果。使用实际采集数据验证,在信噪比为20dB时,识别正确率在90%以上。Aiming at the low accuracy of recognition of navigation radar emitter by conventional methods,the time-fre-quency characteristics of pulse signals and unintentional modulation on pulse of navigation radar were analyzed and studied,focusing on the instantaneous frequency of pulse signals,especially at the rising and falling edges of pulses.The change rate of instantaneous frequency was characterized by taking a series of sampling point composition vectors and using support vector machine for classification,Experiments based on simulation data showed that,Compared with the whole pulse,this method can distinguish different radar emitter signals better,which not only improves the recognition accuracy,but also re-duces the calculation amount.The method obtains satisfactory results in single carrier frequency signal,linear frequency modulation signal and binary phase-coded signal.Using the actual data collection verification,when the SNR is 20dB,the re-cognition accuracy is more than 90%.

关 键 词：细微特征提取 瞬时频率特征 支持向量机 

分 类 号：TN971[电子电信—信号与信息处理]