基于ISAR图像的三维散射中心提取方法

2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2016-08-01 DOI:10.1109/ICEICT.2016.7879735

Shan Cui, Sheng Li, Hua Yan

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引用次数: 5

摘要

散射中心提取是研究雷达目标特性的关键内容。本文提出了一种基于逆合成孔径雷达(ISAR)图像二维数据的方法。该方法将单高程宽方位孔径划分为子孔径，利用稀疏分解和基追踪去噪(BPDN)算法，从不同子孔径中提取二维点并进行矢量合成，同时对再生信号的准确性进行评价。该方法将这些二维点映射到地平面上，得到散射体的轨迹图，并通过霍夫变换提取目标的三维散射中心。通过仿真实现了重构。

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A method of 3-D scattering center extraction based on ISAR images

Scattering center extraction is the key content in the study of the characteristics of radar target. In this paper, a method based on 2-D data of inverse synthetic aperture radar (ISAR) images is proposed. The wide azimuthal aperture at a single elevation is divided into subapertures, taking advantage of the sparse decomposition and basis pursuit denoising (BPDN) algorithm, the method extracts the 2-D points from different subapertures and makes vectorial resultant, meanwhile to evaluate veracity of the regenerated signal. The method maps these 2-D points to the ground plane to get the trajectory chart of scatterers, and Hough transformation can help to extract 3-D scattering centers of target. The reconstruction is realized by the simulation.

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2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)

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