The constant information radar, or CIR, is a tracking radar that modulates target revisit time by maintaining a fixed mutual information measure. For highly dynamic targets that deviate significantly from the path predicted by the tracking motion model, the CIR adjusts by illuminating the target more frequently than it would for well-modeled targets. If SNR is low, the radar delays revisit to t...

Inverse synthetic aperture radar (ISAR) images represent the two-dimensional (2-D) spatial distribution of the radar crosssection (RCS) of an object and, thus, they can be applied to the problem of target identification. The traditional approach to ISAR imaging is the range-Doppler algorithm based on the 2-D Fourier transform. However, the 2-D Fourier transform often results in poor resolution ...

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

The Radar is a remote-sensing device which detects and identifies targets in all weathers. With the development of the radar system, the requirement of high image quality makes the radar system more complicated, so the current radar systems need a revolution. Quantum radar is a new detection technology based on the mechanism of quantum physics and is proving very efficient for enhancing radar t...

In this paper, the concepts of wavelet analysis and neural networks are applied to the classification of shuttle imaging radar experiment C (SIR-C) synthetic aperture radar (SAR) data from a location in northwest China. Initially, the paper presents the visual elements of tone, texture and structural features on SAR imagery as important bases for image classification and target recognition. The...

The Radar Cross Section of a target plays an important role in the detection of targets by radars‎. ‎This paper presents a new method to predict the bistatic and monostatic RCS of coated electrically large objects. ‎The bodies can be covered by lossy electric and/or magnetic Radar Absorbing Materials (RAMs)‎. ‎These materials can be approximated by the Fresnel reflection coefficients‎. ‎The pro...

Detection and classification of vulnerable road users (VRUs) such as pedestrians cyclists is a key requirement for the realization fully autonomous vehicles. Radar-based VRUs can be achieved by exploiting differences in micro-Doppler signatures associated with VRUs. Specifically, machine learning (ML) algorithms trained to classify using spectral content radar signals. The performance these mod...