基于双向转动因子的加权误差函数最小化逆合成孔径雷达方位标定方法  

A New Cross-Range Scaling Method for ISAR by Minimizing the Weighted Error Function Based on Two-Direction Rotation Factor

作　　者：李丹霜 张云华[1] 李东[1] 董晓[1] 

机构地区：[1]中国科学院国家空间科学中心微波遥感技术重点实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《测试技术学报》2016年第5期375-382,共8页Journal of Test and Measurement Technology

摘　　要：逆合成孔径雷达(Inverse Synthetic Aperture Radar,ISAR)通常对非合作目标成像.为了实现对目标的精确识别,需要确定目标的二维分辨率.目标的距离向分辨率由发射信号的带宽决定,而方位向分辨率即方位向标定则由相干积累角度决定,因此转角估计对方位向标定至关重要.本文提出了一种基于转动因子的稳定双向加权误差函数的转角估计算法.其首先在距离多普勒算法成像的基础上将图像分为不同的子序列,然后通过双向加权误差函数最小化估计子序列图像间的最优转角,从而实现方位向标定,数值仿真和实际数据处理结果验证了该方法的准确性和鲁棒性.Inverse Synthetic Aperture Radar（ISAR）is usually used to imaging non-cooperative targets.In order to realize exact recognition of targets,it is necessary to determine two-dimension resolutions of targets.The range resolution is decided by the bandwidth of transmitted signal while the azimuth resolution is decided by coherent integration angle,thus rotation angle is essential to azimuth scaling.In this paper,a robust rotation angle estimation method——the bi-direction weighting error function which is based on bi-direction rotation factor is proposed.First,based on Range-Doppler imaging algorithm,resulting images are divided into different series and then via bi-direction weighting error function minimization,the optimal rotation angle between different images is estimated,and accordingly azimuth scaling is implemented.Numerical simulation and real data processing have verified the accuracy and robustness of the proposed method.

关 键 词：逆合成孔径雷达 方位向标定 距离多普勒 双向加权误差函数 转角估计 

分 类 号：TN951[电子电信—信号与信息处理]