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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Characterization of Rotating Objects With Tomographic Reconstruction of Multiaspect Scattered Signals
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Characterization of Rotating Objects With Tomographic Reconstruction of Multiaspect Scattered Signals

机译：具有多档分散信号断层重建旋转对象的特征

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摘要

The backscattered signals of objects under spinning motion or with rotating parts provide very rich information that can be used for classification tasks, parameter extraction, etc. Obtaining such information from noncooperative objects with an unknown target-aspect is often a complicated task with a monostatic configuration. A multistatic radar on the other hand, can exploit the spatial diversity to extract the information from the time-frequency representations obtained from multiple aspect-angles. In this paper, we propose a tomographic approach for characterizing spinning objects in terms of their shape, size, and rotation parameters using a narrow-band multistatic radar. A two-dimensional image is reconstructed after a full rotation period using tomographic methods that allows not only to estimate the shape of the target but also the rotation parameters and the dimensions of the object. This is done very efficiently by combining the tomographic images from different aspect-angles on the transformed log-polar space, instead of the time-frequency representations. Simulations and measurements were conducted for the proof of concept. The measurement results with a simple target and a continuous wave K-band radar show errors below 3. for the orientation estimation and below 5% for the estimation of the object's diameter.
机译：旋转运动或旋转部件下的物体的反向散射信号提供了非常丰富的信息，可用于分类任务，参数提取等。从具有未知目标方面的非自由度对象获得这样的信息通常是具有单体配置的复杂任务。另一方面，多晶雷达可以利用空间分集来从从多个方向角获得的时间频率表示中提取信息。在本文中，我们提出了一种断层方法，用于使用窄带多晶雷达在其形状，尺寸和旋转参数方面表征纺丝物体的断层方法。使用断层方法在完全旋转时段之后重建二维图像，其不仅允许估计目标的形状，而且允许对象的旋转参数和尺寸。这通过将来自变换的日志极性空间的不同方向角的断层图像组合而不是时频表示来非常有效地完成。为概念证明进行了模拟和测量。测量结果具有简单的目标和连续波k带雷达显示出低于3的误差。对于对象直径的估计，方向估计和低于5％的误差。

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