基于双频联合处理的太赫兹InISAR成像方法  

Improved Terahertz InISAR Imaging Method Based on Joint Processing of Dual-frequency Data

作　　者：蒋彦雯 邓彬[1] 王宏强[1] 秦玉亮[1] 庄钊文[1] Jiang Yanwen;Deng Bin;Wang Hongqiang;Qin Yuliang;Zhuang Zhaowen(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)

机构地区：[1]国防科技大学电子科学学院,长沙410073

出　　处：《雷达学报（中英文）》2018年第1期139-146,共8页Journal of Radars

基　　金：国家自然科学基金(61701513;61571011)~~

摘　　要：为提高太赫兹InISAR成像精度,该文提出了一种基于双频联合处理的成像方法。将雷达回波信号在快时间域分为两部分,分别按传统InISAR方法进行成像,再对两部分的成像结果进行比较分析,去除冗余点和坏点,得到最终的InISAR成像结果。针对飞机的散射点模型,给出了双频联合处理方法的InISAR成像结果,并仿真分析成像结果的均方根误差,结果表明,相比于传统InISAR成像方法,基于双频联合处理的InISAR成像方法在不同信噪比条件下均能有效提升成像精度。To improve the imaging accuracy of Interferometry Inverse Synthetic Aperture Radar（In ISAR）, in this paper, we propose a novel method based on the joint processing of dual-frequency data. First, we divide the radar echo into two parts in the fast-time domain, then we apply the conventional In ISAR method to each dataset.By comparing and analyzing the imaging results of the two parts, we can identify and remove redundant and bad pixels. Using the proposed joint processing method, we obtained the In ISAR imaging results of a scatter model of an airplane and calculated the Root Mean Square Error（RMSE）. The simulation results show that the proposed method can effectively improve imaging accuracy with different Signal-to-Noise Ratio（SNR）.

关 键 词：太赫兹雷达 干涉逆合成孔径雷达 双频 均方根误差 信噪比 

分 类 号：TN95[电子电信—信号与信息处理]