组网雷达下的弹道目标三维微动识别  

Ballistic targets recognition based on three-dimensional micro-motion in radar networks

作　　者：王宇晨[1] 雷腾[2] 胡晓伟[1] 徐培胜 WANG Yuchen;LEI Teng;HU Xiaowei;XU Peisheng(Air and Missile Defense College, Air Force Engineering University, Xi’an Shaanxi 710051,China;Unit 95899 of the PLA,Jiuquan Gansu 735018,China;Unit 93575 of the PLA,Chengde Hebei 735018,China)

机构地区：[1]空军工程大学防空反导学院 [2]中国人民解放军95899部队 [3]中国人民解放军93575部队

出　　处：《太赫兹科学与电子信息学报》2017年第2期206-210,共5页Journal of Terahertz Science and Electronic Information Technology

基　　金：国家自然科学基金资助项目(61372166)

摘　　要：基于组网雷达的多视角特性,研究了弹道目标的三维微动识别。建立了有翼、无翼锥体目标在进动、摆动和滚动形式下的微动模型,理论分析了各种微动目标的距离信号形式,得到了不同微动目标的频域特征,在此基础上提出了基于组网雷达多视角频域积累的微动类型识别方法。实验验证了该方法的有效性。The three-dimensional recognition method based on radar networks is studied.Micromotion models are built for precessing,swinging and spinning cone-shaped targets with and without empennages.Then the micro-ranges of all the targets are analyzed,and their frequency characteristics are obtained.Furthermore,one classification method is put forward based on frequency in tegration inmulti-view.This method is validated to be effective by experiments.

关 键 词：弹道目标 组网雷达 三维微动 目标识别 

分 类 号：TN957.52[电子电信—信号与信息处理]