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正交长基线毫米波InISAR运动目标三维成像
引用本文:马萌,李道京,李烈辰,杜剑波,乔明.正交长基线毫米波InISAR运动目标三维成像[J].红外与毫米波学报,2016,35(4):488-495.
作者姓名:马萌  李道京  李烈辰  杜剑波  乔明
作者单位:中国科学院电子学研究所,中国科学院电子学研究所,中国科学院电子学研究所,中国科学院电子学研究所,中国科学院电子学研究所
摘    要:提出了一种基于差频测角定位、等效去平地相位和模糊数估计相结合的相位解缠方法.根据波束指向信息在差频下干涉测角,对目标进行粗定位;然后借鉴干涉合成孔径雷达(InSAR)中的去平地相位技术,实现等效去平地相位,缓解相位解缠压力;最后对模糊数进行统计估计,完成相位解缠.实际数据处理结果表明,该方法不仅解决了目标尺寸较大引起的相对相位缠绕问题,而且可以获得目标的绝对相位,实现了对运动目标的三维定位与三维成像.

关 键 词:毫米波雷达  干涉逆合成孔径雷达  运动目标成像  相位解缠  三维成像
收稿时间:2015/8/18 0:00:00
修稿时间:2016/2/27 0:00:00

3-D imaging for moving targets based on millimeter-wave InISAR with long orthogonal baselines
MA Meng,LI Dao-Jing,LI Lie-Chen,DU Jian-Bo and QIAO Ming.3-D imaging for moving targets based on millimeter-wave InISAR with long orthogonal baselines[J].Journal of Infrared and Millimeter Waves,2016,35(4):488-495.
Authors:MA Meng  LI Dao-Jing  LI Lie-Chen  DU Jian-Bo and QIAO Ming
Affiliation:Institute of Electronics, Chinese Academy of Sciences,Institute of Electronics, Chinese Academy of Sciences,Nanjing Research Institute of Electronics Technology,Institute of Electronics, Chinese Academy of Sciences,Institute of Electronics, Chinese Academy of Sciences
Abstract:This paper proposed a novel phase unwrapping method which unites beat-frequency localization, equivalent ground interferometric phase removing and ambiguity number estimation. First, a rough localization is conducted under the beat frequency with the information of beam pointing. Then, by introducing the technology of ground interferometric phase removing in interferometric synthetic aperture radar(InSAR), an equivalent approach is used to alleviate the pressure of phase unwrapping. At last, the ambiguity number is estimated by statistic processing. The practical data processing results showed that the proposed method can not only solve the relative phase wrapping caused by large target size, but also obtain the absolute phase, making three-dimensional(3-D) localization and 3-D imaging possible.
Keywords:millimeter-wave radar  Interferometric inverse synthetic aperture radar(InISAR)  moving target imaging  phase unwrapping  3-D imaging
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