超分辨率散射中心提取的DROP算法

IF 6.7 1区计算机科学 Q1 Physics and Astronomy

Progress in Electromagnetics Research-Pier Pub Date : 2018-01-01 DOI:10.2528/PIER18082304

Young-Jae Choi, I. Choi

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引用次数: 2

摘要

散射中心提取算法是一种从后向散射场中估计散射中心的方法。优秀的散射中心提取算法应具有对噪声的鲁棒性、与模型阶数无关、自动快速运行等特点。本文提出了一种满足上述条件的超分辨率散射中心提取算法，并将其命名为降维优化问题(DROP)。利用DROP，我们分别从高分辨率距离像和逆合成孔径雷达图像中确定了一维散射中心和二维散射中心。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DROP Algorithm for Super Resolution Scattering Center Extraction

The scattering center extraction algorithm is a method to estimate the scattering center from the backscattered field. Superior scattering center extraction algorithms should be robust to noise, independent of the model order, and automatically and quickly operated. In this paper, we propose a novel super resolution scattering center extraction algorithm that satisfies the conditions mentioned above, which has been named the dimension reduced optimization problem (DROP). Using DROP, we determined a one-dimensional scattering center from a high resolution range profile and a two-dimensional scattering center from an inverse synthetic aperture radar image.

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来源期刊

Progress in Electromagnetics Research-Pier 物理-电信学

CiteScore

7.20

自引率

3.00%

发文量

审稿时长

1.3 months

期刊介绍： Progress In Electromagnetics Research (PIER) publishes peer-reviewed original and comprehensive articles on all aspects of electromagnetic theory and applications. This is an open access, on-line journal PIER (E-ISSN 1559-8985). It has been first published as a monograph series on Electromagnetic Waves (ISSN 1070-4698) in 1989. It is freely available to all readers via the Internet.