Super-resolution imaging algorithm based on attributed scattering center model

Min Wu, M. Xing, Lei Zhang, Jia Duan, Gang Xu
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引用次数: 10

Abstract

Based on attributed scattering center, a novel algorithm of super-resolution synthetic aperture radar (SAR) imaging is proposed in this paper to characterize physical properties of the scattering object. An improved Orthogonal Matching Pursuit (OMP) algorithm is utilized to estimate the parameter of the simplified attributed scattering center model. To realize super-resolution, spectrum extrapolation is preformed in signal reconstruction based on the estimated model parameter. The method can accurately describe the physical structure compared with the traditional super-resolution algorithm based on the point scattering model. In addition, the method has fast computation efficiency and can achieve a better focusing performance with the utilization of the orientation angle. The simulation results validate the superiority of the proposed algorithm.
基于属性散射中心模型的超分辨率成像算法
本文提出了一种基于属性散射中心的超分辨率合成孔径雷达(SAR)成像算法,用于表征散射目标的物理性质。采用改进的正交匹配追踪(OMP)算法对简化的属性散射中心模型进行参数估计。为了实现超分辨率,在估计模型参数的基础上进行信号重构的频谱外推。与传统的基于点散射模型的超分辨率算法相比,该方法能够准确地描述物体的物理结构。此外,该方法计算效率快,利用取向角可以获得更好的聚焦性能。仿真结果验证了该算法的优越性。
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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