An algorithm to detect and estimate a linear mixture of deterministic signals corrupted by
white Gaussian noise is presented. The number of signals is assumed to be unknown, and …

In this paper, we explore the promising capabilities of atomic decomposition (AD) for radar-
related applications from a practical point of view. Some enhancements and new …

A general problem of signal detection in a background of unknown Gaussian noise is
addressed, using the techniques of statistical hypothesis testing. Signal presence is sought …

Atomic decomposition (AD) extracting the time–frequency characteristics of signals has
been investigated in the frame of complex radar signal detection and classification. AD uses …

A new fuzzy concept for postdetection signal integration is presented. The fuzzy integrator is
developed as a simple extension of the classic binary integrator by replacing the crisp binary …

In the past, radar ESM systems have relied on operator interpretation of measured
parameters to provide classification and identification of emitters. However, for rapid …

A detector using atomic decomposition with a chirplet dictionary is analyzed. It is derived
from the generalized likelihood ratio test and has constant false alarm rate. The atomic …

We consider the problem of corrupted radar super-resolution, a generalization of
compressed radar super-resolution in which one aims to recover the continuous-valued …

This paper considers the Gaussian multichannel binary detection problem. A multichannel
generalized likelihood ratio is derived using a model-based approach where the signal and …

The problem of detecting signals in nonstationary clutter is met by presenting a mean-level
or adaptive threshold which adjusts to the changing background level. Such a threshold …