Noise analysis of the high resolution methods in ISAR

V. Popovic, T. Thayaparan, L. Stanković
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引用次数: 1

Abstract

Commonly used technique for the inverse synthetic aperture radar (ISAR) signal analysis is a two dimensional Fourier transform. Short time intervals could be used in order to reduce nonstationarity effects. However, resolution of images obtained by using short intervals is highly limited. In this case superresolution techniques, such as Capon, ESPRIT and MUSIC, should be used. All high resolution methods are quite sensitive to the noise. The main topic of this paper is to find a relation between maximum SNR and resolution when 2D Capon method is used in ISAR. 2D Capon method's sensitivity to the noise is analyzed and compared to the 2D Fourier transform application, in case of well separated scattering centers. In order to improve performance of the standard Capon method a modified version with the known number of components is considered.
ISAR高分辨率方法的噪声分析
反合成孔径雷达(ISAR)信号分析常用的方法是二维傅里叶变换。可以使用短时间间隔来减少非平稳性影响。然而,使用短间隔获得的图像分辨率有很大的限制。在这种情况下,应该使用超分辨率技术,如Capon, ESPRIT和MUSIC。所有的高分辨率方法都对噪声非常敏感。本文的主要课题是寻找二维Capon方法用于ISAR时最大信噪比与分辨率之间的关系。分析了二维Capon方法对噪声的敏感性,并与二维傅里叶变换在散射中心分离良好的情况下的应用进行了比较。为了提高标准Capon方法的性能,考虑了已知组分数的改进版本。
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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