Spectral estimation of migrating targets in wideband radar

Francois Deudon, S. Bidon, O. Besson, J. Tourneret
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引用次数: 2

Abstract

Low pulse repetition frequency radars aimed at detecting moving targets are faced with the problem of blind velocities, since Doppler ambiguous targets have to compete with clutter and possibly the sidelobes of strong targets. On the other hand, wideband radars offer high range resolution, and hence fast moving targets, in contrast to clutter or non moving targets, are likely to migrate during the coherent processing interval. Moreover, range migration is different between two Doppler ambiguous targets. These properties can be used to remove Doppler ambiguities and detect targets which fall in the clutter or targets sidelobes. In this paper, we derive new spectral estimators (and detectors accordingly) that can take into account range migration to improve detectability of Doppler ambiguous targets. The new techniques are based on an extension of Capon method to the wideband case, and take into account the non-stationarity of the covariance matrix of the targets. Numerical simulations show that the new estimators significantly reduce clutter and target sidelobes compared to previous proposed schemes.
宽带雷达中迁移目标的频谱估计
由于多普勒模糊目标必须与杂波和强目标的副瓣相竞争,低脉冲重复频率雷达在探测运动目标时面临盲速问题。另一方面,宽带雷达提供高距离分辨率,因此与杂波或非运动目标相比,快速运动目标在相干处理期间很可能发生迁移。此外,两个多普勒模糊目标之间的距离偏移是不同的。利用这些特性可以消除多普勒模糊,检测落在杂波或目标副瓣中的目标。在本文中,我们推导了新的频谱估计器(以及相应的检测器),可以考虑距离迁移,以提高多普勒模糊目标的可探测性。该方法将Capon方法扩展到宽带情况,并考虑了目标协方差矩阵的非平稳性。数值模拟结果表明,与之前提出的估计方法相比,新估计方法显著降低了杂波和目标副瓣。
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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