E-viri
PDF
Recenzirano
Odprti dostop
-
Xiong, Di; Wang, Junling; Zhao, Lizhi; Gao, Meiguo
Journal of engineering, October 2019, Letnik: 2019, Številka: 19Journal Article
Multiband fusion imaging can effectively improve the range resolution of inverse synthetic aperture radar (ISAR) imaging. In this study, the block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ISAR imaging of a block-structured target. The BSBL method is suitable for the ISAR imaging of numerous and continuous scatterers because it considers the block structure characteristics of the signal. The validity of the proposed method is verified by the simulation and real-data experimental results.
