一维超分辨率ISAR成像算法

C. Peng, Li Hua-qiang, He Wei-chao
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引用次数: 0

摘要

提出了一种基于共轭酉根music的雷达目标一维散射中心提取算法。为了提高一维散射中心的分辨率,将观测数据矩阵与其共轭数据矩阵相结合,有效地利用了共轭数据的信息。采用前向-后向平均法构造了具有厄米性质的中心厄米数据矩阵,采用幺正变换将中心厄米协方差矩阵转化为实矩阵,并采用实值特征分解法提高了计算效率。理论分析和仿真结果表明,该方法可以提高分辨率,显著降低计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
1-D superresolution ISAR imaging algorithm
A novel 1-D scattering centers extraction algorithm of radar target based on conjugate unitary Root-MUSIC was introduced in this paper. To improve the resolution of 1-D scattering centers, the information of conjugated data was used availably by combining the observation data matrix with its conjugated data matrix. Centro-Hermitian data matrices with hermitian property was constructed by forward-backward(FB) averaging, Unitary transform was applied which convert the FB covariance matrix to a real matrix, and the computational efficiency is improved by real-valued eigendecomposition. Theory analysis and simulation result show that the new approach can improve the resolution and reduce significantly computational complexity.
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