Target Recognition Based on Attributed Scattering Center Models

Pengbo Zhu, Dawei Song, S. Tao, Rushan Chen
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引用次数: 2

Abstract

In order to extract the target's geometric electromagnetic characteristics effectively from the radar echo, this paper proposes a fast feature parameter extraction method of attributed scattering center model. We use the orthogonal matching pursuit (OMP) algorithm to estimate the attributed scattering center model. In the process of OMP algorithm, the RELAX algorithm is used to correct the extracted signal components. Compared with the traditional super-resolution algorithm based on point-scattering model, this algorithm can effectively solve the problem of discontinuity of components. And it is more accurate to describe the geometric features and position of the target.
基于属性散射中心模型的目标识别
为了有效地从雷达回波中提取目标的几何电磁特征,提出了一种基于属性散射中心模型的快速特征参数提取方法。我们使用正交匹配追踪(OMP)算法来估计属性散射中心模型。在OMP算法的过程中,使用RELAX算法对提取的信号分量进行校正。与传统的基于点散射模型的超分辨率算法相比,该算法可以有效地解决部件的不连续问题。并且能够更准确地描述目标的几何特征和位置。
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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