Simulation of Statistical Distributions using the Memoryless Nonlinear Transform

Abstract

In support of Task 07/040 (support to AIR 7000), the generation of correlated sea clutter returns using the Memoryless Nonlinear Transform is investigated. The generation of such clutter is critical to the performance analysis of radar detection schemes under realistic clutter scenarios. This feature must be incorporated into clutter models being built at DSTO to test radar detector performance. Examples of the transform's application is given for a number of target distributions of interest.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA541304

Entities

People

  • Graham V. Weinberg
  • Lachlan Gunn

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Science
  • Distribution Functions
  • Equations
  • Gaussian Processes
  • Information Processing
  • Information Science
  • Linear Algebra
  • Normal Distribution
  • Probability
  • Radar
  • Random Variables
  • Sampling
  • Simulators
  • Stationary Processes
  • Statistical Algorithms
  • Statistical Distributions
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.