ReportDOI
The weibull distribution applied to the ground clutter backscatter coefficient
Reads0
Chats0
TLDR
In this paper, the Weibull probability distribution function and its characteristics are discussed, and a method for generation of random variables that fit a selected weibull statistical population for use in radar simulations is also given.Abstract:
: Spatial distributions of the ground clutter backscatter coefficient sigma 0 for various types of terrain have been found to fit a Weibull distribution quite well. This report discusses the Weibull distribution quite well. This report discusses the Weibull probability distribution function and its characteristics, and presents some clutter measurements that demonstrate the Weibull distribution. The data presented include measurements taken at L-, S-, and X-band frequencies, at several depression angles, and for various resolution cell sizes. A method for generation of random variables that fit a selected Weibull statistical population for use in radar simulations is also given.read more
Citations
More filters
Journal ArticleDOI
Statistical analyses of measured radar ground clutter data
TL;DR: A new modified Kolmogorov-Smirnoff (KS) goodness-of-fit test is proposed; this modified test guarantees good fitting in the distribution tails, which is of fundamental importance for a correct design of CFAR processors.
Book
Low-Angle Radar Land Clutter: Measurements and Empirical Models
TL;DR: In this article, the authors present a review of the history of clutter measurements at the Lincoln Laboratory, including the phase zero clutter measurement, the nature of low-angle clutter, X-band clutter statistics, and the effect of weather and season on clutter.
Journal ArticleDOI
Radar Detection in Weibull Clutter
TL;DR: In this paper, the authors examined the performance of radar detection in Weibull clutter from a statistical detection viewpoint, and determined the optimum performance of a receiver for each of the three types of clutter.
Journal ArticleDOI
Weather radar ground clutter. Part I: Identification, modeling, and simulation
TL;DR: A new technique for the simulation of ground-clutter echo is developed that better predicts the experimentally observed clutter phase alignment (CPA), a measure primarily of the phase variability of the in-phase and quadrature-phase time series samples for a given radar resolution volume.
Journal ArticleDOI
Selected list of references on radar signal processing
TL;DR: In this article, the authors collected almost 700 references in a single document to facilitate their work and the work of other colleagues of the radar community, and the collection of references is by no means exhaustive; the period of screening mainly covers the last two decades.