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Adaptive Target Detection With Application to Through-the-Wall Radar Imaging

机译:自适应目标检测及其在穿墙雷达成像中的应用

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摘要

An adaptive detection scheme is proposed for radar imaging. The proposed detector is a postprocessing scheme derived for one-, two-, and three-dimensional data, and applied to through-the-wall imaging using synthetic aperture radar. The target image statistics depend on the target three-dimensional orientation and position. The statistics can also vary with the standoff distance of the imaging system because of the change in the corresponding scene image resolution. We propose an iterative target detection scheme for the cases in which no or partial a priori knowledge of the target image statistics is available. Properties of the proposed scheme, such as conditions of convergence and optimal configurations are introduced. The detector performance is examined under synthetic and real data. The latter is obtained using a synthetic aperture through-the-wall radar indoor imaging scanner implementing wideband delay and sum beamforming.
机译:提出了一种用于雷达成像的自适应检测方案。提出的探测器是一种针对一维,二维和三维数据的后处理方案,并应用于使用合成孔径雷达的穿墙成像。目标图像统计信息取决于目标三维方向和位置。由于相应场景图像分辨率的变化,统计量也可能随成像系统的隔离距离而变化。对于没有或只有部分先验知识的目标图像统计信息的情况,我们提出了一种迭代目标检测方案。介绍了所提出方案的性质,例如收敛条件和最佳配置。在综合和真实数据下检查探测器的性能。后者是使用实现宽带延迟和求和波束成形的合成孔径穿墙雷达室内成像扫描仪获得的。

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