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

Abstract

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.

A Generalized Ray Formulation For Wave-Optics Rendering

“…Then, the electromagnetic field is reconstructed at that aperture and physical optics methods are applied to compute the light-matter interaction. Applications of SBR methods are extensive, and include: simulation of radar for imaging [Feng and Guo 2021]; driving-assistive technology [Castro et al 2019]; urban structures verification [Weijie and Xiaojie 2016]; analysis of stealth aircraft scattering cross-section [Bilal et al 2019]; ground-penetrating radar [Warren et al 2016]; radio propagation [Gunduzalp et al 2019]; analysis of WiFi antenna characteristics [Chen et al 2019]; and, indoor positioning using WiFi [Hossain et al 2018].…”

Applying Polarimetric Target Decomposition to 2D Turntable ISAR Imagery of a Complex Vehicle

“…is task usually requires a training set of ground-truth images for a typical range of target and data collection parameters. In particular, wide-angle collections have recently received increasing attention owing to the need for high-resolution imagery [1][2][3][4][5]. However, target signatures show strong uctuations as the aspect angle varies, and thus, a considerably large dataset should be gathered for a representative range of view angles.…”