Abstract

MACHADO-FERNANDEZ, José Raúl. Modeling Innovative Distributions for Radar Clutter Representation. Entramado [online]. 2017, vol.13, n.2, pp.286-299. ISSN 1900-3803.  https://doi.org/10.18041/entramado.2017v13n2.26227.

The clutter is a distortion signal caused by the reflection of the radar emission on the surface surrounding the target. Traditionally, the K, Weibull, Log-Normal, Rayleigh and Pareto distributions have been used for representing the clutter behavior; however several studies have pointed out the application of other innovative alternatives that may be best suited than the traditional distributions. This paper presents the modeling of three innovative alternatives: the Log-Weibull, the Pearson (Lévy) and the Lomax distributions, in a set of MATLAB functions. The implemented code provides an easy access to the handling of density and accumulative distribution functions, to the generation of random variables, to the computation of moments and to the estimation of the parameters of the addressed distributions. The implementation is conceived for providing the radar community with a tool for simulating the response of radar detectors against a wide range of operating conditions, which allows the creation of new processing mechanisms. Likewise, the investigation contributes to the study of the electromagnetic echo received form the ground and sea surfaces, with possible environmental applications. The created code will be assembled into the MATE-CFAR 2 library that will include several clutter distributions and radar detectors.

Keywords : Radar clutter Log-Weibull Distribution; Pearson Distribution; Lomax Distribution; Lévy distribution.

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