Enhanced ISAR imaging by exploiting the continuity of the target scene
This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced
target images within a Bayesian framework. A simplified radar system is utilized by
transmitting the sparse probing frequency signal, where the ISAR imaging problem can be
converted to deal with underdetermined linear inverse scattering. Following the Bayesian
compressive sensing (BCS) theory, a hierarchical Bayesian prior is employed to model the …
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced
target images within a Bayesian framework. A simplified radar system is utilized by
transmitting the sparse probing frequency signal, where the ISAR imaging problem can be
converted to deal with underdetermined linear inverse scattering. Following the Bayesian
compressive sensing (BCS) theory, a hierarchical Bayesian prior is employed to model the …
Enhanced ISAR imaging by exploiting the continuity of the target scene
This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced
target images within a Bayesian framework. A simplified radar system is utilized by
transmitting the sparse probing frequency signal, where the ISAR imaging problem can be
converted to deal with underdetermined linear inverse scattering. Following the Bayesian
compressive sensing (BCS) theory, a hierarchical Bayesian prior is employed to model the …
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced
target images within a Bayesian framework. A simplified radar system is utilized by
transmitting the sparse probing frequency signal, where the ISAR imaging problem can be
converted to deal with underdetermined linear inverse scattering. Following the Bayesian
compressive sensing (BCS) theory, a hierarchical Bayesian prior is employed to model the …