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Optimal Sensor Positioning for Inverse Synthetic Aperture Radar

机译:逆合成孔径雷达的最佳传感器定位

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摘要

Noncooperative target recognition (NCTR) is often based on the use of inverse synthetic aperture radar (ISAR) images. Although ISAR systems are also able to provide an image of the target when the target's motions are not known a priori, the interpretation of the obtained image is not straightforward, and therefore, the target recognition becomes less effective. This is due to the fact that the image projection plane (IPP), which depends on both the radar position and the target's motions, cannot be predicted in typical ISAR scenarios. Given some target's motions the only degree of freedom with which to force the orientation of the IPP to be a desired one is the radar position. The criteria for defining the optimal ISAR sensor position are introduced. The theoretical basis for optimising the sensor position, given a desired IPP, is also provided. The effectiveness of the proposed method is then tested on real data.
机译:非合作目标识别(NCTR)通常基于反合成孔径雷达(ISAR)图像的使用。尽管在事先不知道目标运动的情况下,ISAR系统也能够提供目标图像,但是对获得的图像的解释并不直接,因此目标识别的效率降低。这是由于以下事实:在典型的ISAR场景中无法预测依赖于雷达位置和目标运动的图像投影平面(IPP)。在给定某些目标运动的情况下,迫使IPP定位成为所需方向的唯一自由度是雷达位置。介绍了定义最佳ISAR传感器位置的标准。还提供了在给定所需IPP的情况下优化传感器位置的理论基础。然后在真实数据上测试该方法的有效性。

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