扫描雷达角超分辨功率谱密度估计方法的优点与挑战

Yue Wang, Yongchao Zhang, Yulin Huang, Wenchao Li, Jianyu Yang, Haiguang Yang
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引用次数: 1

摘要

角超分辨率对扫描雷达前视成像具有重要意义。提高角分辨率的方法有很多,其中反褶积法和功率谱密度法(PSD)得到了广泛的关注。在本文中,我们重点分析了PSD方法与反卷积方法的优势和挑战。首先介绍了三种典型的PSD估计方法,然后与反卷积方法进行了比较,总结了PSD方法在理论上的优点和挑战。从相干性和快照数量两个方面进行了仿真,比较了不同的PSD方法和Lucy-Richardson反卷积方法的性能,更好地展示了PSD方法的优势和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advantages and challenges of power spectral density estimation methods for scanning radar angular superresolution
The angular superresolution is of great significance for scanning radar in forward-looking imaging. There are many techniques documented in literature to enhance the angular resolution, of which deconvolution method and power spectral density(PSD)methods are favored and attain many interests. In this paper, we focus on analyzing the advantages and challenges of PSD methods in comparison with the deconvolution method. Firstly, three typical PSD estimation approaches are introduced, followed with the comparison with deconvo-lution method that summarizes the advantages and challenges of PSD methods in theory. Simulations are provided in terms of coherence and number of snapshots, which presents the performance of different PSD methods and Lucy-Richardson deconvolution method, better demonstrating the advantages and challenges of PSD methods.
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