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 …

Optimal, in the maximum likelihood sense, constant false-alarm rate (CFAR) detection for
Weibull clutter statistics, is investigated. The proposed OW (optimal Weibull) estimator is …

Recent interest has focused on order statistic-based (OS-based) algorithms for calculating
radar detection thresholds. Previous analyses of these algorithms are extended, to …

The authors consider procedures for constant false alarm rate in lognormal clutter,
accounting for variations of both the scale and a shape parameter of the clutter. Adaptivity to …

A dual order statistic detector is examined and shown to have the constant false alarm rate
property when the clutter is modelled by a certain class of distributions. For the case of …

ABSTRACT A statistical summary of the standard clutter models is given-Gamma, Inverse
Gaussian, Log-normal, Weibull-and it is shown how mixtures of these distributions can be …

Linearly combined order statistic (LCOS) constant false-alarm rate (CFAR) detectors are
examined for efficient and robust threshold estimation applied to exponentially distributed …

We propose a method that improves the constant false alarm rate (CFAR) detection of
targets in a nonhomogenous clutter environment. We assume that the clutter data from …

The greatest-of-order statistics estimator (GOOSE) constant false alarm rate (CFAR) and the
censored greatest-of (CGO) CFAR are described. Both are designed to accommodate …

Most radar targets are complex objects and produce a wide variety of reflections. Different
targets often require different models to characterize the varied statistical nature of these …