Higher Order Moments Generation by Mellin Transform for Compound Models of Clutter

TL;DR

This paper demonstrates how Mellin transform properties can efficiently generate higher order moments for both simple and compound clutter models, aiding in the analysis of radar backscatter statistics.

Contribution

It introduces a novel method using Mellin transform properties to generate higher order moments of clutter models, simplifying the analysis process.

Findings

Mellin transform effectively generates higher order moments.

Method applies to both simple and compound clutter models.

Facilitates better characterization of radar backscatter.

Abstract

The compound models of clutter statistics are found suitable to describe the nonstationary nature of radar backscattering from high-resolution observations. In this letter, we show that the properties of Mellin transform can be utilized to generate higher order moments of simple and compound models of clutter statistics in a compact manner.