基于二维谱向量的中段弹道目标平动补偿  

Translational motion compensation of ballistic targets in midcourse based on 2D spectral vector

作　　者：王义哲 冯存前[1,2] 赵双[1] 陈彬[1] 

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

出　　处：《传感器与微系统》2017年第6期66-69,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61372166)

摘　　要：弹道目标中段的运动是微动与平动的复合,为了提取目标的微多普勒信息,必须先进行平动补偿。首先分析并建立了弹道目标中段的运动模型,说明了将平动近似描述为二阶多项式的合理性,在此基础上,提出了一种基于二维谱向量的平动参数估计方法。利用频域特征与平动参数对应的关系,对细化后回波信号频谱的能量分布和重心位置进行了量化,从而分别实现了加速度和速度的高精度补偿。仿真实验结果表明:在多目标和强噪声的环境下,该方法具有良好的估计性能。As the motion of ballistic targets in midcourse is the complex motion of micro-motion and translation,the translational motion should be compensated to extract micro-Doppler information. The motion model for ballistic targets in midcourse is analyzed and constructed first,and then the rationality of regarding translational motion as a second order polynomial is illustrated. On this basis,a novel method based on two-dimensional spectral vector is proposed to estimate translation parameters. Exploiting the relationship between frequency spectrum and translation parameters,the energy distribution and center of gravity in frequency domain are quantized for zoomed echo signal. Thus the speed and acceleration can be compensated with a high precision. Simulation results show this method exhibits excellent estimation performance under group-target and strong noise environment.

关 键 词：目标识别 弹道目标 微动 平动补偿 频谱细化 

分 类 号：TN957[电子电信—信号与信息处理]