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.

中文翻译：

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基于改进SBR散射模型的复杂目标多视场ISAR成像

提出了一种新颖的多视角逆合成孔径雷达（ISAR）成像方法，通过处理大角度和宽带散射数据来模拟复杂目标的高分辨率和可识别的ISAR图像。散射数据通过射击和弹跳射线（SBR）方法进行模拟。开发了双向光线跟踪算法以减少计算时间。仿真结果表明，该改进方法能够有效，可靠地计算出大目标的电磁散射。为了在数据模拟后实现多视图ISAR成像方法，我们将大角度和宽带散射数据划分为子孔径数据，并对每个子孔径数据进行局部ISAR图像处理。将每个子孔径ISAR图像转换为全局坐标系并将其求和将产生高分辨率ISAR图像，这对于为合成孔径雷达自动目标识别（SAR ATR）建立的数据库而言是有意义的。最终模拟的ISAR图像进一步验证了我们的散射计算算法和ISAR成像方法的出色性能。