in this paper, we deal with the problem of clutter and direct signal (c&ds;) cancelation in the target detection of tv-based passive radars. we first consider the target detection using the conventional fft method. we see that for increasing the maximum range of passive radar, we must cancel the c&ds; from the received signal. hence, we investigate some important methods for c&ds; cancelation i...

Traditionally, Inverse Synthetic Aperture Radar (ISAR) image frames are classified individually in an automatic target recognition system. When information from different image frames is combined, it is usually in the context of timeaveraging to remove statistically independent noise fluctuations between images. The sea state induced variability of the ship target projections between frames, ho...

A novel high-resolution time–frequency representation method is proposed for source detection and classification in over-the-horizon radar (OTHR) systems. A data-dependent kernel is applied in the ambiguity domain to capture the target signal components, which are then resolved using root-MUSIC based coherent spectrum estimation. This two-step procedure is particularly effective for analysing a...

An approach to identifying ground targets from sequential high-range-resolution (HRR) radar signatures is presented. In particular, a hidden Markov model (HMM) is employed to characterize the sequential information contained in multi-aspect HRR target signatures. Features from each of the HRR waveforms are extracted via the RELAX algorithm. The statistical models used for the HMM states are for...

The classification of targets by the use radars has received great interest in recent years, particular defence and military applications, which development sensor systems that are able to identify classify threatening is a mandatory requirement. In specific case drones, several techniques have already been proposed and, up now, most effective technique was considered be micro-Doppler analysis ...

In the United States, the WSR-88D (NEXRAD) Doppler weather radar network will be upgraded with a dual polarization capability (Istok et al., 2009) beginning in late 2010. This will allow for type characterization of bulk scatterers (hydrometeor classification) in addition to the standard radar moments. Knowing which scatterers dominate a radar return offers physical insight into underlying atmo...

This paper proposes rollable latent space (RLS) for synthetic aperture radar (SAR) target recognition of un-seen views. Scarce labeled data and limited viewing direction are critical issues in SAR target recognition.The RLS is a designed space in which rolling of latent features corresponds to 3D rotation of an object. Thus latent features of an arbitrary view can be inferred using those of dif...

It is well known that radar scattering from an illuminated object is often highly aspect dependent. We have developed a multiaspect target classification technique for SAR imagery that incorporates matching-pursuits feature extraction from each of a sequence of subaperture images, in conjunction with a hidden Markov model that explicitly incorporates the target-sensor motion represented by the ...