Target identification using Inverse Synthetic Aperture Radar (ISAR) imaging is an important tool required with the current day high-resolution radars for threat assessment and evaluation. Identification of target using the ISAR images is gaining popularity because of its importance in decision-making. The ISAR image represents the target’s reflectivity measured at discrete frequencies in the RF...

The paper proposes a new passive bistatic ISAR mode for coastal surveillance based on the exploitation of the signals transmitted by telecommunication geostationary satellites. Specifically it is demonstrated that ISAR images with acceptable quality of ship targets could be obtained by using telecommunication geostationary satellites as opportunity transmitters and stationary passive devices, l...

With the development of multi-functional radar systems, inverse synthetic aperture radar (ISAR) imaging with sparse-aperture (SA) data has drawn considerable attention in the recent years. Motion compensation and imaging are among the most significant challenges that SA-ISAR imaging frequently faces. In this paper, we focus on the autofocus scheme, in which a modified eigenvector-based autofocu...

This work presents an original approximate recurrent approach for image reconstruction from inverse synthetic aperture radar (ISAR) data, obtained by illuminating the target with Barcer’s phase code modulated transmitted signal. Geometrical model of ISAR scenario and mathematical expressions of quadrature components of ISAR signal with Barcer’s phase code modulation, reflected by object with a ...

We present the generic system framework of Isabelle/Isar underlying recent versions of Isabelle. Among other things, Isar provides an infrastructure for Isabelle plug-ins, comprising extensible state components and extensible syntax that can be bound to tactical ML programs. Thus the Isabelle/Isar architecture may be understood as an extension and refinement of the traditional “LCF approach”, w...

Since interference noise and limited imaging algorithm etc caused low-quality images, continuous contour information on targets was difficult to extract, and ISAR imaging on aerial targets wasn’t ideal. On this basis, a new method of image processing is proposed to achieve clearer continuous contour features on targets. The method combines denoising technique based on Contourlet transform with ...

This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior. The newly proposed logarithmic Laplacian prior has a narrower main lobe with higher tail values than the Laplacian prior, which helps to achieve performance improvement on sparse representation. The logarithmic Laplacian prior is used for I...

Distortion in the ISAR image of a target is known to cause by non-uniform rotational motion of the target during image formation. The conventional explanation describes the image distortion as a quadratic phase distortion effect. This quadratic phase distortion effect is significant only when the target image is integrated over an extended period of time; i.e., over a large angular rotation by ...

In bistatic inverse synthetic aperture radar (Bi-ISAR) system, its image resolution is lower than monostatic ISAR system. In order to solve this problem, the linear prognosis algorithm is adopted in the imaging process and the imaging algorithm based on linear prognosis is proposed. Space target Bi-ISAR imaging is taken as example in the research. The one-dimensional range profile is created th...

Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational compensation, and the high quality ISAR images can be obtained by the parameters estimation of it combined with the Range-Instantaneous-Doppler (RID)...