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Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model

机译:基于改进SBR散射模型的复杂目标的多视图ISAR成像

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A novel multiview inverse synthetic aperture radar (ISAR) imaging method is proposed to simulate high-resolution and identifiable ISAR image of complex targets by handling large-angle and wide-bandwidth scattering data. The scattering data are simulated with the shooting and bouncing ray (SBR) method. The bidirectional ray-tracing algorithm is developed to reduce the computation time. Simulation results indicate that the improved method is efficient and reliable to calculate electromagnetic (EM) scattering of electrically large targets. To implement the multiview ISAR imaging method after data simulation, we divide the large-angle and wide-bandwidth scattering data into subaperture data and conduct ISAR image processing for each subaperture datum locally. Transforming each subaperture ISAR image to the global coordinate system and summing them together will produce the high-resolution ISAR image that is meaningful for the database set up for synthetic aperture radar automatic target recognition (SAR ATR). The final simulation ISAR images further validate the great performance of our scattering calculation algorithm and ISAR imaging method.
机译:提出了一种新颖的多视图逆合成孔径雷达(ISAR)成像方法,以通过处理大角度和宽带宽度散射数据来模拟复数和识别的基目标的识别ISAR图像。用拍摄和弹跳射线(SBR)方法模拟散射数据。开发双向射线跟踪算法以减少计算时间。仿真结果表明,改进的方法是有效且可靠地计算电靶的电磁(EM)散射。为了实现数据仿真后的多视图ISAR成像方法,我们将大角度和宽带宽度散射数据划分为子孔节数据,并在本地为每个子孔节数据进行对每个子孔节数据进行的ISAR图像处理。将每个子孔节ISAR图像转换为全局坐标系,并将它们汇总在一起将产生对用于合成孔径雷达自动目标识别(SAR ATR)的数据库设置的高分辨率ISAR图像。最终仿真ISAR图像进一步验证了我们的散射计算算法和ISAR成像方法的良好性能。

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