采用ISAR像估计弹道目标微动特征的方法  

Micro-motion features estimation method using ISAR images for ballistic targets

作　　者：陈蓉[1] 冯存前[1,2] 贺思三[1] 饶驿 CHEN Rong FENG Cunqian HE Sisan RAO Yi(Air and Missile Defense College,Air Force Engineering Univers ity, Xi＇ an 710051, China Collaborative Innovation Center of Information Sensing and Understanding, Xi＇an 710077, China Science College ,Air Force Engineering University , Xi＇an 710051, China)

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 [3]空军工程大学理学院,陕西西安710051

出　　处：《系统工程与电子技术》2017年第7期1500-1505,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61372166)资助课题

摘　　要：逆合成孔径雷达(inverse synthetic aperture radar,ISAR)像序列可以反映弹道目标在微动周期内的姿态变换及结构特征,本文在此基础上提出一种利用ISAR像序列估计弹道目标微动特征的方法。首先基于relax算法提取较强的散射点,并采用距离-多普勒方法成像,然后利用灰度匹配算法对ISAR图像进行匹配,以提高微动周期估计精度。通过分析散射点在成像平面上的投影关系从而建立散射点空间坐标与目标微动特征之间的联系,并根据散射点在ISAR图像序列上的相对位置差值与散射点空间坐标的表达式,估计目标的微动参数。最后,仿真验证该方法的可行性与有效性,仿真结果表明该方法估计精度较高。Inverse synthetic aperture radar image （ISAR） sequences could show the attitude variation and structural characteristic of ballistic targets in a micro-period. Based on ISAR image sequences, a method for ex-tracting micro-motion features of ballistic targets is proposed. Stronger scattering points are extracted through the relax algorithm after which the distance-Doppler method is introduced for imaging. Based on the gray-scale matching algorithm, the match of ISAR images is carried out to improve the precision of estimation for the peri-od of micro-motion. The relationships among projections of scattering points over the imaging plane are analyzed to describe the relationships between the coordinates of scattering points and the micro-motion features of tar-gets. Then the micro-motion parameters are estimated through analyzing the relationships between the positions of scattering points in ISAR images sequences and the coordinates of scattering points. Simulations are carried out to test the feasibility and validity of the method, simulation results show that this method has high precision.

关 键 词：宽带雷达 逆合成孔径雷达像 微动特征提取 RELAX算法 灰度匹配算法 

分 类 号：TN95[电子电信—信号与信息处理]