Generating Correlated Gamma Sequences for Sea-Clutter Simulation

Abstract

This report presents a hybrid method for simulating sequences of correlated Gamma random variables for modelling sea clutter, using a combination of linear and/or non-linear transforms. Depending on the shape parameter, this method minimises the use of non-linear transformations. Mathematically the method is simpler than its counterpart methods which leads to a quicker simulation run time. Two memoryless non-linear transform (MNLT) approaches are also studied with comparative results showing that the hybrid approach is more computationally efficient and slightly more accurate for low shape parameters. The drawback of the proposed method is, however, that it can only handle positive correlations whilst the two MNLT methods are capable of handling both positive and negative correlations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA563797

Entities

People

  • Graham V. Weinberg
  • Luke Rosenberg
  • Yunhan Dong

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Electronic Warfare
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Australia
  • Data Science
  • Distribution Functions
  • Electronic Warfare
  • Gaussian Processes
  • Information Processing
  • Information Science
  • Numerical Integration
  • Polynomials
  • Radar
  • Random Variables
  • Sea Clutter
  • Statistical Distributions
  • Stochastic Processes
  • Synthetic Aperture Radar
  • Warfare

Readers

  • Approximation Theory.
  • Radar Systems Engineering.
  • Systems Analysis and Design