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

Tiantian Feng,Lixin Guo,Ping Li

doi:10.1155/2021/6615154

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.

Highlights

Inverse synthetic aperture radar (ISAR) imaging has been widely used in target detection and recognition due to its operation capacity of all day and all weather [1]
E computational ability of these methods is limited by the target size. e shooting and bouncing ray (SBR) method [9,10,11,12] is a high-frequency method which combines the physical optics (PO) method and geometrical optics (GO) method
The multiview ISAR imaging process is implemented on the realistic missile and airplane model, respectively. e subaperture backscattering data of missile model are presented in matrix form, and each subimage is illustrated

Summary

Introduction

Inverse synthetic aperture radar (ISAR) imaging has been widely used in target detection and recognition due to its operation capacity of all day and all weather [1]. E imaging process includes generating subimages and the followed incoherent procedure Inspired by this circular trajectory concept, we made attempt to conduct the multiview ISAR imaging simulation according to the subaperture principle [25, 26]. In the proposed multiview ISAR imaging method, the backward scattering data of a target are obtained from multiple observation locations and stored as multiple sets of subaperture data Synthesizing these subaperture data is equivalent to increasing the total imaging aperture; the image resolution will be greatly improved. In this technique, each subaperture datum is simulated by the introduced SBR method in large-angle range and wide bandwidth.

Theoretical Model

Method

Results and Discussion

Conclusion