An approach to ground moving target indication (GMTI) using multiple resolutions of the clutter covariance matrix

G. Akers, J. Stiles
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引用次数: 2

Abstract

This paper presents an approach to simultaneous ground moving target indication (GMTI) and synthetic aperture radar (SAR) imaging that promises to outperform current space-time adaptive processing (STAP) GMTI techniques when jamming is not present. An inherent weakness in STAP is its inability to directly estimate the scattering statistics from nonmoving objects in the region under test. A SAR image is a measure of the scattering intensity from an illuminated area on Earth assuming everything in the scene is stationary; therefore, it provides the estimate of scattering from nonmoving targets required for GMTI. Since the homogeneity of the scattering statistics over the scene are unknown, using multiple spatial resolutions of the SAR image to estimate the scattering statistics results in more confidence in the final detection decision.
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基于多分辨率杂波协方差矩阵的地面运动目标指示方法
本文提出了一种同时进行地面运动目标指示(GMTI)和合成孔径雷达(SAR)成像的方法,该方法有望在不存在干扰的情况下优于当前的时空自适应处理(STAP) GMTI技术。STAP的一个固有缺点是无法直接估计被测区域内不运动物体的散射统计量。SAR图像是对地球上被照亮区域散射强度的测量,假设场景中的一切都是静止的;因此,它提供了GMTI所需的非运动目标散射估计。由于散射统计数据在场景中的均匀性是未知的,因此使用SAR图像的多个空间分辨率来估计散射统计数据可以提高最终检测决策的置信度。
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