Two simple tests are presented for classifying a set of clutter samples into either the log-
normal or Weibull distribution. The results obtained by Monte Carlo simulation have shown …

This paper addresses the problem of adaptive multichannel signal detection in additive
correlated non-Gaussian noise using a parametric model-based approach. The adaptive …

In this paper, we address the problem of detection and tracking of dim targets in radar
systems through the use of multi-frame detection (MFD) techniques. We first study the …

The line spectrum estimation and detection problem are considered in this article. We
propose a constant false alarm rate (CFAR)-based Newtonized OMP (NOMP-CFAR) …

Time diversity transmission is often used to circumvent the high probability of a deep fade on
a single transmission which may result in loss of the signal. One way to combat deep fades …

A novel radar pulse integration technique is proposed in which the received signals in
various returns from the target during one scan are multiplied with each other instead of the …

Closed-form expressions for the false-alarm and detection probabilities attained by the
optimum and the linear detectors of a positive signal in n independent samples of noise …

An atomic decomposition of a signal is an expression of the signal as a superposition of a
parametric collection of waveforms. Basis expansions, especially orthogonal cases such as …

Detection and classification arise in signal processing problems whenever a decision is to
be made among a finite number of hypotheses concerning an observed waveform. Signal …

This paper analyzes the energy detector that is commonly used to detect the presence of
unknown information-bearing signals. The algorithm simply compares the energy (or power) …