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)...

This work proposes a new automatic target classifier, based on a combined neural networks’ system, by ISAR image processing. The novelty introduced in our work is twofold. We first present a novel automatic classification procedure, and then we discuss an improved multimedia processing of ISAR images for automatic object detection. The classifier, composed by a combination of 20 feed-forward ar...

We present an efficient way to generate the inverse synthetic aperture radar (ISAR) image of a target at an arbitrary aspect angle using the shooting and bouncing ray (SBR) method, which is much faster than the conventional approach by inverse Fourier transforming the computed scattered fields over frequency and aspect domain. We propose a general image-domain ray-tube integration formula, whic...

Inverse Synthetic Aperture Radar (ISAR) is a coherent radar technique capable of generating images of noncooperative targets. ISAR may have better performance in adverse meteorological conditions than traditional imaging sensors. Unfortunately, ISAR images are usually blurred because of the relative motion between radar and target. To improve the quality of ISAR products, motion compensation is...

Inverse Synthetic Aperture Radar (ISAR) images are often used for target classification and recognition applications. However, conventional 2D images do not provide the height information about the scattering centers. In this paper, an interferometric ISAR imaging method based on compressive sensing (CS) is proposed that is able to estimate the scatterering centres heights. The interferometric ...

Inverse Synthetic Aperture Radar (ISAR) is used to produce high resolution imagery of non-cooperative targets by retrieving the relative motion parameters of a target with respect to a reference. This concept of estimating motion parameters is applied for obtaining cross-range resolution in ISAR imaging in which one component is produced by the relative motion between the radar and the target a...

When reconstructing the ISAR image of a maneuvering target rotating approximately with the equal changing acceleration, the received signals can be considered as the multicomponent cubic phase signals. If the model of rotating with constant acceleration is used here, the errors of the reconstructed images cannot be neglected, and a lot of pseudoscatterers are produced. Hence, the ISAR imaging o...

a Klinik und Poliklinik fuer Psychosomatische Medizin und Psychotherapie, University of Ulm, Am Hochstraess 8, D-89081 Ulm, Germany; e-mail: [email protected] b Abteilung fuer Neuroradiologie, Klinikum rechts der Isar, Technische Universitaet Muenchen, Ismaningerstrasse 22, D-81675 Muenchen, Germany c Klinik und Poliklinik fuer Psychosomatische Medizin und Psychotherapie, Klinikum rechts der Isar,...