Estimation of Higher Order Moments for Compound Models of Clutter by Mellin Transform
C Bhattacharya
TL;DR
This paper demonstrates how Mellin transform properties can be used to efficiently compute higher order moments for simple and compound clutter models, aiding in better radar backscatter analysis.
Contribution
It introduces a novel application of Mellin transform to derive higher order moments of clutter models, simplifying the analysis of nonstationary radar backscatter.
Findings
Mellin transform effectively generates higher order moments.
The approach simplifies clutter model analysis.
Applicable to nonstationary radar backscatter data.
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
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Taxonomy
TopicsModel Reduction and Neural Networks · Real-time simulation and control systems · Probabilistic and Robust Engineering Design