基于图像旋转匹配的组网雷达ISAR图像横向定标  

Cross-range scaling for net-worked radar ISAR based on image rotation matching

作　　者：张凌晓[1] 王宝顺[2] 贺思三[3] 

机构地区：[1]南阳理工学院计算机与信息工程学院 [2]69046部队 [3]空军工程大学防空反导学院

出　　处：《计算机工程与科学》2015年第4期796-801,共6页Computer Engineering & Science

基　　金：国家自然科学基金资助项目(61372166);河南省科技攻关资助项目(122102210563;132102210215)

摘　　要：基于组网雷达观测模型,分析了在多部雷达同时观测条件下所得ISAR图像之间的对应关系,提出了一种基于图像旋转匹配的转角估计办法,通过对旋转速度的一维搜索实现了目标角速度的估计。仿真结果表明,本算法能基于组网雷达所获得的多幅ISAR图像实现目标转角的稳健估计,实现ISAR图像横向定标。所提算法可对慢运动目标或平动补偿后的回波信号进行处理,适用于不同带宽、不同中心频率的宽带雷达组网形式。Based on the net-worked radar observation model, we analyze the relationship between the ISAR images obtained simultaneously by different radars. We also propose a rotation velocity estimation algorithm based on image rotation and matching, and realize the target palstance estimation by one-dimensional search of rotation velocity. Simulation results show that the proposed algorithm can estimate the rotation velocity robustly based on the multi-radar images and the cross-range scaling can be achieved. The proposed algorithm can deal with the radar echoes for slowly moving targets and translation compensated targets, and fits for wide-band net worked radars of different center frequency and different bandwidth.

关 键 词：组网雷达 ISAR图像 横向定标 

分 类 号：TN957[电子电信—信号与信息处理]