太赫兹科学与电子信息学报, 2017, 15 (2): 206, 网络出版: 2017-06-06
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
弹道目标 组网雷达 三维微动 目标识别 ballistic target radar networks three -dimensional micro-motion target recognition
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。
Abstract
The three-dimensional recognition method based on radar networks is studied. Micro-motion 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 integration in multi-view. This method is validated to be effective by experiments.
王宇晨, 雷腾, 胡晓伟, 徐培胜. 组网雷达下的弹道目标三维微动识别[J]. 太赫兹科学与电子信息学报, 2017, 15(2): 206. WANG Yuchen, LEI Teng, HU Xiaowei, XU Peisheng. Ballistic targets recognition based on three-dimensional micro-motion in radar networks[J]. Journal of terahertz science and electronic information technology, 2017, 15(2): 206.
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