The analysis of a time series is a key challenge in making use of the radar data. The
challenge at hand is figuring out how to get the most value out of the data by gleaning the …

In this paper, we present a time-frequency S-method-based approach for real-time motion
compensation, image formation and image enhancement of moving targets in ISAR and …

For target recognition applications, a blurred ISAR image has to be refocused quickly so that
it can be used for real-time target identification. In this paper, we present the S-method …

One of the central problems in exploiting the radar data is the analysis of a time series. The
problem at hand is how to extract the information present in the data and use it to its full …

The commonly used technique for inverse synthetic aperture radar (ISAR)/synthetic aperture
radar signal analysis is a two-dimensional Fourier transform (FT), which results in an image …

Time–frequency analysis has been an area of productive research during the past two
decades. Traditionally, time and frequency are considered to be two separate aspects of …

In this paper we suggest a target analysis technique for SAR images using a 4-D
representation based on sub-aperture decomposition. This work is based on target analysis …

It is well known that targets moving along track within a Synthetic Aperture Radar (SAR) field
of view are imaged as defocused objects. The SAR stripmap mode is tuned to stationary …

In this paper, we present the S-method-based approach to real-time motion compensation,
image formation and image enhancement of moving targets in ISAR and SAR. This …

A new method for Automatic Radar Targets Recognition is presented based on Inverse
Synthetic Aperture Radar (ISAR). In this work, the first step is to construct ISAR images via a …