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三维干涉逆合成孔径雷达成像用于目标散射诊断和建模。

Three-dimensional interferometric ISAR imaging for target scattering diagnosis and modeling.

机构信息

Department of Electrical Engineering, Center for Electro-Optics, University of Nebraska, Lincoln, NE 68588-0511 USA.

出版信息

IEEE Trans Image Process. 2001;10(7):1094-102. doi: 10.1109/83.931103.

DOI:10.1109/83.931103
PMID:18249682
Abstract

Two-dimensional (2-D) inverse synthetic aperture radar (ISAR) imaging has been widely used in target scattering diagnosis, modeling and target identification. A major shortcoming is that a 2-D ISAR image cannot provide information on the relative altitude of each scattering center on the target. In this paper, we present an interferometric inverse synthetic aperture radar (IF-ISAR) image processing technique for three-dimensional (3-D) target altitude image formation. The 2-D ISAR images are obtained from the signature data acquired as a function of frequency and azimuthal angle. A 3-D IF-ISAR altitude image can then be derived from two 2-D images reconstructed from the measurements by antennas at different altitudes. 3-D altitude image formation examples from both indoor and outdoor test range data are demonstrated on complex radar targets.

摘要

二维(2-D)逆合成孔径雷达(ISAR)成像是目标散射诊断、建模和目标识别的常用方法。主要的缺点是二维 ISAR 图像无法提供目标上每个散射中心的相对高度信息。本文提出了一种用于三维(3-D)目标高度成像的干涉逆合成孔径雷达(IF-ISAR)图像处理技术。二维 ISAR 图像是从作为频率和方位角函数采集的特征数据中获得的。然后,可以从通过不同高度的天线进行测量重构的两个二维图像中得到 3-D IF-ISAR 高度图像。在复杂雷达目标上展示了来自室内和室外测试场数据的 3-D 高度图像形成示例。

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