基于窄带雷达网的弹道目标三维进动特征提取  

Three-Dimensional Precession Feature Extraction of Ballistic Targets Based on Narrowband Radar Network

作　　者：赵双[1] 鲁卫红[1] 冯存前[1,2] 王义哲 

机构地区：[1]空军工程大学防空反导学院,西安710051 [2]信息感知技术协同创新中心,西安710077

出　　处：《雷达学报（中英文）》2017年第1期98-105,共8页Journal of Radars

基　　金：国家自然科学基金(61372166);陕西省自然科学基础研究计划(2014JM8308)~~

摘　　要：微动特征是弹道目标识别的重要特征之一。针对单一视角观测难以获取目标真实微动参数的问题,该文提出了一种基于窄带雷达网的3维进动特征提取方法。首先建立了锥体目标进动模型,在考虑散射中心遮挡的前提下,详细分析了进动引发的微多普勒频率调制特性。然后基于锥顶微多普勒频率调制系数比,实现了不同视角下散射中心匹配关联,通过构建多视角联合方程组获取了目标的3维锥旋矢量,进而利用各散射中心微多普勒频率相关性,结合频率补偿的方法对锥体特征参数进行了提取,在此基础上解算出每一时刻锥顶坐标,实现了目标空间位置的3维重构。仿真结果证明了该方法的有效性与实用性。Micro-motion is a crucial feature used in ballistic target recognition. To address the problem that single-view observations cannot extract true micro-motion parameters, we propose a novel algorithm based on the narrowband radar network to extract three-dimensional precession features. First, we construct a precession model of the cone-shaped target, and as a precondition, we consider the invisible problem of scattering centers. We then analyze in detail the micro-Doppler modulation trait caused by the precession. Then, we match each scattering center in different perspectives based on the ratio of the top scattering center＇s micro-Doppler frequency modulation coefficient and extract the 3D coning vector of the target by establishing associated multi-aspect equation systems. In addition, we estimate feature parameters by utilizing the correlation of the micro-Doppler frequency modulation coefficient of the three scattering centers combined with the frequency compensation method. We then calculate the coordinates of the conical point in each moment and reconstruct the 3D spatial portion. Finally, we provide simulation results to validate the proposed algorithm.

关 键 词：进动特征 窄带雷达 频率补偿 3维重构 

分 类 号：TN957[电子电信—信号与信息处理]