Analysis of the limit to superresolution in real aperture scanning radar

Yin Zhang, Yulin Huang, Jianyu Yang
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引用次数: 1

Abstract

Iterative deconvolution is an effective method of achieving high azimuth resolution in real aperture scanning radar. However, the performance is seriously limited when SNR is low. The application area and processing efficiency are affected by unreasonable iterative. Therefore, correct understanding the ability of super-resolution signal recovery is the premise to achieve super-resolution at low SNR. In this paper, the distance and position change of the recovered signals in high-dimension are studied based on the vector decomposition of azimuth echo. Besides, the process of signal recovery and the limit of super-resolution performance in iteration are analyzed. The experiential formula of the super-resolution limit is then derived. Finally, simulations are given to verify the theoretical analysis.
真孔径扫描雷达超分辨极限分析
在真实孔径扫描雷达中,迭代反褶积是实现高方位分辨率的有效方法。然而,当信噪比较低时,性能受到严重限制。不合理的迭代影响了算法的应用范围和处理效率。因此,正确认识超分辨信号恢复能力是实现低信噪比下超分辨的前提。本文研究了基于方位回波矢量分解的高维恢复信号的距离和位置变化。此外,还分析了迭代过程中信号恢复的过程和超分辨率性能的限制。推导了超分辨极限的经验公式。最后通过仿真验证了理论分析的正确性。
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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