基于多维极化信息的弹道目标综合识别方法  

Synthetic recognition method of ballistic targets based on multi-dimensional polarization information

作　　者：庞礴[1] 代大海[1] 王雪松[1] 李永祯[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《系统工程与电子技术》2013年第4期677-683,共7页Systems Engineering and Electronics

基　　金：国家自然科学基金(61101180);中国博士后科学基金(20112490088)资助课题

摘　　要：目标识别是弹道导弹防御系统的核心难题之一,针对弹道导弹突防过程中无源诱饵的极化识别问题进行了研究。首先,基于多个窄带和宽带极化特征量,并结合暗室测量数据,进行了极化特征提取和优选,去除了冗余的极化特征量。在此基础上,提出了一种基于宽窄带极化特征的弹道目标综合识别方法,并利用弹道目标的暗室实测数据进行了验证。结果表明综合识别方法和仅基于窄带或宽带极化特征的识别方法相比具有更好的目标识别性能。Target recognition is the core difficulty in ballistic missile defense systems, this paper studies the polarization recognition problem of passive decoy during break through process of the ballistic missile. Firstly, based on a host of narrow and wide band polarization characteristics, and combined with data derived from anechoic chamber measurement, this paper performs polarization characteristic extraction and filtration, and removes redundant polarization characteristics. A synthetic recognition method based on narrow and wide band polari zation characteristics for ballistic targets is proposed, and data derived from anechoic chamber measurement is used for validation. The result shows that the synthetic recognition method has better recognition performance than recognition method based only on narrow or wide band polarization characteristics.

关 键 词：目标识别 极化 弹道导弹 特征提取 综合识别 

分 类 号：TN974[电子电信—信号与信息处理]