In recent years, the performances of radar resolution, coverage, and detection accuracy
have been significantly improved through the use of ultra-wideband, synthetic aperture and …

Location estimation is significant in mobile and ubiquitous computing systems. Considering
the influence of measurement error caused by time difference of arrival (TDOA)/angle of …

Conventional approaches to inverse synthetic aperture radar (ISAR) imaging of a non-
uniformly rotating target are not optimal in terms of reconstructed image quality and/or …

When a target is in complex three-dimensional (3-D) motions, inverse synthetic aperture
radar (ISAR) images cannot be obtained with any motion compensation algorithms. To …

In inverse synthetic aperture radar (ISAR) systems, image quality often suffers from the non-
uniform rotation of non-cooperative targets. Rotational motion compensation (RMC) is …

When a target undergoes complex 3-D motions, focused inverse synthetic aperture radar
(ISAR) images cannot be obtained using any motion compensation algorithms. To address …

When a target is in complex three-dimensional (3-D) motions, inverse synthetic aperture
radar (ISAR) images cannot be obtained with any motion compensation algorithms. In this …

Based on the low imaging resolution of bistatic inverse synthetic aperture radar (Bi-ISAR)
and the failure of pulse correlation under the condition of sparse aperture cause that of the …

We propose a novel adaptive joint time frequency algorithm combined with the neural
network (AJTF-NN) to focus the distorted inverse synthetic aperture radar (ISAR) image. In …

The Inverse Synthetic Aperture Radar (ISAR) is a powerful tool for target recognition and
classification. However, generating focused ISAR images of moving targets is challenging …