多视角弹道目标微动特征提取仿真研究  

Simulation and Research on Micro-motion Feature Extraction of Ballistic Object Based on Multi-Aspect Observation

作　　者：赵双[1] 鲁卫红[1] 冯存前[1,2] 李靖卿 

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：《计算机仿真》2016年第7期45-49,共5页Computer Simulation

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：微动特征提取对弹道目标防御识别具有重要意义。针对单部雷达存在的视角局限性及目标参数提取精度较低的问题,利用多视角观测对弹道目标微动特征进行了融合提取,提出了一种基于散射中心径向距离和序列的锥体目标特征提取新方法。在分析进动锥体一维距离像特性的基础上,根据散射中心径向距离和信号与锥顶散射中心位置变化曲线之间的相关性,采用二参数扩展Hough变换实现了锥顶和锥底散射中心的分离,并构建多视角联合方程组,提取出锥体目标的进动和结构特征参数。仿真结果验证了改进方法对目标识别的有效性与准确性。Micro-motion is an important characteristic of discrimination in ballistic target defense. To solve the problems of limitation of view and low accuracy of target parameters in signal radar, the micro-motion feature extraction of ballistic target was utilized based on multi-aspect observation and a novel method of cone-shaped object＇ s feature extraction was proposed based on summation sequence of ranges. On the basis of analyzing the range profile characteristics of precession cone-shaped target, according to the correlation between summation signal of ranges and the change curve of position of the scattering center at conical point, the scattering center at the conical point and the scattering centers in the conical bottom were separated utilizing the two-parameter generalized Hough transform. Ultimately, the multi-aspect associated systems of equations were established, the precession and structural parameters of cone-shaped object were extracted. Simulation results were given for validating the proposed algorithms.

关 键 词：距离和序列 多视角观测 进动 特征提取 

分 类 号：TN957[电子电信—信号与信息处理]